{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn import datasets\n",
    "from scipy.stats import t\n",
    "from yellowbrick.regressor import ResidualsPlot\n",
    "import statsmodels.formula.api as smf\n",
    "from patsy import dmatrices, dmatrix\n",
    "\n",
    "dat = pd.read_csv('auto.csv')\n",
    "# convert horsepower from string to float and mean fill the 5 missing values.\n",
    "hp = pd.to_numeric(dat['horsepower'], downcast='float', errors='coerce')\n",
    "hp = hp.fillna(value=hp.mean())\n",
    "dat['horsepower'] = hp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Question 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.595\n",
      "Model:                            OLS   Adj. R-squared:                  0.594\n",
      "Method:                 Least Squares   F-statistic:                     580.6\n",
      "Date:                Wed, 09 Jan 2019   Prob (F-statistic):           1.45e-79\n",
      "Time:                        09:41:39   Log-Likelihood:                -1200.1\n",
      "No. Observations:                 397   AIC:                             2404.\n",
      "Df Residuals:                     395   BIC:                             2412.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         40.0058      0.729     54.903      0.000      38.573      41.438\n",
      "horsepower    -0.1578      0.007    -24.096      0.000      -0.171      -0.145\n",
      "==============================================================================\n",
      "Omnibus:                       21.884   Durbin-Watson:                   0.902\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               24.108\n",
      "Skew:                           0.557   Prob(JB):                     5.82e-06\n",
      "Kurtosis:                       3.464   Cond. No.                         324.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "X = sm.add_constant(dat['horsepower'])\n",
    "est = sm.OLS(dat['mpg'], X).fit()\n",
    "print(est.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "##### a.i Is there a relationship between the predictor and the response?\n",
    "\n",
    "Yes - a statistically significant releationship exists.\n",
    "\n",
    "- The coefficeint for the horsepower paramater is non-zero: -0.1578\n",
    "- The coefficeint for the horsepower paramater has a low standard error: 0.007\n",
    "- ... the ratio between these quantites (t-statistic) has a large absolute value: -24.096\n",
    "- The p-value for the t-statistic is < 10^-3\n",
    "- Therefore we can reject the null hypothesis.\n",
    "\n",
    "##### a.ii How strong is the relationship between the predictor and the response?\n",
    "\n",
    "- ~ 60% of the variance in mpg is explained by horsepower (R-squared: 0.595).\n",
    "\n",
    "\n",
    "##### a.iii Is the relationship between the predictor and the response positive or negative?\n",
    "- negative."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### iv. What is the predicted mpg associated with a horsepower of 98?  What are the associated 95% confidence and prediction intervals?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>mean_se</th>\n",
       "      <th>mean_ci_lower</th>\n",
       "      <th>mean_ci_upper</th>\n",
       "      <th>obs_ci_lower</th>\n",
       "      <th>obs_ci_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>24.537028</td>\n",
       "      <td>0.253797</td>\n",
       "      <td>24.038067</td>\n",
       "      <td>25.035989</td>\n",
       "      <td>14.722193</td>\n",
       "      <td>34.351862</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        mean   mean_se  mean_ci_lower  mean_ci_upper  obs_ci_lower  \\\n",
       "0  24.537028  0.253797      24.038067      25.035989     14.722193   \n",
       "\n",
       "   obs_ci_upper  \n",
       "0     34.351862  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est.get_prediction(np.array([1, 98])).summary_frame(alpha=0.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Plot the response and the predictor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='horsepower', y='mpg', data=dat)\n",
    "X = sm.add_constant(dat['horsepower'])\n",
    "est = sm.OLS(dat['mpg'], X).fit()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) Produce diagnostic plots of the least squares regression fit. Comment on any problems you see with the fit.\n",
    "\n",
    "- There is a strong pattern, indicating non-linearity in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c230d6ef0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.residplot(dat['horsepower'], dat['mpg'], lowess=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Question 9\n",
    "\n",
    "##### (a) Produce a scatterplot matrix which includes all of the variables in the data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x11dcd6c50>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 72 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(dat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (b) Compute the matrix of correlations between the variables using the function cor()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120f70908>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sQmYkEolEIrEJmZFIJBKJxCbkU1v/P6nfwI9Bg3ug1xtYumQtixetSla+OHAmOXNmB8CjQD5OnTxH2zb+/DhhKJWrlMdoNDJk0DiOHz/z3jReuHyNaXMWsnj2pPfmw2g0Mnbmb4ibt7G3s2NU3y545E1cW2zBqk3sOHAEF2dn2n/zBTUqlSU8Ior/te2JZ8H8APhVq0DLrxrYpGHc4i0E33mIvVZLQMev8MiV1VoeuP0wO44GoVap6PBFTfzKl7CW3XrwhJYBc9j/8xAc7NNubXij0ci4eSsRofew12oZ2b0VHrlzWMsXbtjFjj9O4eLsSLvGdalR/v2sxV6pdkVa9foOg97AztW72b5yR7JyzxJFGLt4NPdv3Qdg69LfObj1UJr49vErS0P/JhgNRo6s2c+fq5IPss3tmY+WP3YGFTwJfcTSgXMwGow0C2iHZzlv4qJjAfjl+0nERcakSkO1OpVp37sNBr2Bbau2s3nF78nKi5b0ZErgj9yzfP4NSzazd8sBGjarx1etv0Ct0fDHrj9ZNH1pqvynGNm0ZRuKorQFvDHPjT9CCNEthcc9etNqiP8GWq2WCROHUaP6l0RHx7J3/1q2/76XJ0+eWW3atjGv5ps5szvbd65k4MAxlCxVjIqVylLzk0YUKVKQxUtmUr3qF+9F48Lla9m6cz9Ojg7v5fwv2X/kFPEJOpbPGkfQlWAmz13CrDEDAAgOucP2/UdYMXscAK38h1PBtyRXrodQv1ZVhvRonzYazlwhQadn6ciuXLhxh6krtjOjTysAIqJjWbHrKNum9iU2XkezIbOsgSQqJo6py3dgZ5f2/xb7TwQRn6Bj2cSBBIkQpixax8wh5p92cOh9tv9xkuWTBgHQatAkKvh44+Rgn6YaNFoNXQO68MP/ehAXE8eMjdM4uucYYc/CrDZepbxYN38D635dn6a+1VoNTYe35ccvBhEfG8+AdWMI2nuayGeJE9M2GtCCTZNXcP3kVdpM+QGf2uU4v+skBUoWZkbrsUS/sG1WBY1WQ8+R3WnfoDOxMXH8unk2h3cf5a9nL6w23j4Kq35dy4p5a6z78hbIw1etv6Bbk14kxOv4vl87NFoNBv17XMXwAwskGXbSRiHEo5QGkfRG8fYkJOQ2YWER6HQ6jh09TdWqb55Ec+iw3sydE8jjR095+OARsTGxODjY4+buik73/tLZ/HlyM338sPd2/pecvXSNauV9AShdvChXgm9ay0Lu3KN86eI42NvjYG+PR95cBIfc5sr1EK5cD6FtnwD6jJ7G0+cv/u70KeKcuE0VHy8AfDw9uGy5uwRwcrAnd9bMxMbriI1LQKU2zy5hMpkYvXAjPZrVxSkNMxGrpqs3qPqxOWCVVgpz5cZta9mtew8pV7IoDvZ2ONjbUSB3DoJD76W5Bg9PDx6EPiAqPAq9Ts+lU5fxqVgqmU1RHy8qflqBaeum0Hdyb5xcnNLEd27PvDy9/YiYiGgMOj03Tl/Dq0KxZDZzu0zl+smraOy0ZMqemdiIGFQqFTkK5qLVj53pv24MVZrWSrWGQl4FuBd6n0jL5w86eRHfSskzP+9SRaniV4k5G2YwZGp/nF2cKF+9LFcvCIZPH8ycDTO4cOrS+w0iACZTyl8ZgH81I1EUxQlYBBQA7DFPcTxFCPG7oijFgCnAWottQWCVEKKSoigXgEOAD2ACvgSigF+BEsBNwMFyXH7LfifMM1t2AjTAVuA5sN1ybBvMC7mcEkL42/K53N1ciQhPvFuKiorGPZPba3bZs2elZs0qDBwwBgC9Xo/RaOTs+X24u7vR44fBtsj4R+rUqsb9h4/f2/lfEh0Ti6uLs3VbrVajNxjQajQULeTBgpWbiI6JRafTc/5KME0a1qZQ/rwUb1OYymV92LbvMD/OXsi0gL6p1xAbj5uzo3Vbo1ZZNQDkypqJxgOmYzAZ6fB5DQDmbthHdV9vlAK5U+33n4iKicPVObFSTnpdvArkZcH6XUTHxpmvy7UQvq5bPc01uLg5Ex0Zbd2OiYrFxc0lmc2184LtK3dw/eINvu3Rgla9W/Lr2Pk2+3Z0dSY2SXNUXFQcTm7OyWxMRiMf5c1Gr2UjiIuM4d7VUOydHTgQuIM9v21DrVHTd+VIbl+8yf1rd95Zg4ubC9GRUdbtmOgYXN1dk9lcPn+VzSt+R1wMpq1/Szr0bUtkWCS+FUvT6YsfcHB0YN6mWbRv2JWoiKhXXaQdMiP5R7oAoZZlH5sDWzBX6ADtgQV/c5w7sFIIUQO4j3ke/caYl5CsBAwGXv4qpwAzhRA1Le9fzmqXC6grhJgEtAO6W3RcfWWhlxQzIqAvO3auZPXa+bgl+UG6uroQHhbxmn2jxvVZs2YLRsuP5Ntvv+bx42eUKlGDksWrM2RoT/LkTZfWuTTDxdmJ6JhY67bRZLJW4IUL5KNFo3p0GTye8bMX4OPtSZZMblQsU5IKviUB8Ktagas3Qm3T4ORAdGx8ogZjooYjQcE8DYtk+0/92DV9AAfOXOHizbv8fuQ8mw6epsPY+TwLj6LLxEU2aXgVV2dHYmLjEjUlvS75c9O8QU26jprJ+PmrKFW0IFleqeBsoV3/NkxdM4nRC0fh7JpYeTu7Or1WGf658wjXL96wvvcsUcQm31/2bU6fVSP54beBOLomBlJHV0diI17v5/jr/jNG1PLn0PLdNB3ehoTYBPYt2o4uLoH46DiuHb1EvmIF30lD5wEd+GXddCYtGoeLa2LgdHZxJjI8+ec/tONPxMVgAA7uOEzREp6Ev4jg3LHzxETH8uJ5GKE3buNRON87aXhn0m4a+X+FfzuQKMAxACHEdcz9IMUVRcmOec3grf9w7DnL37uAI1AUOGk51x3LfoBSwBBFUQ4CI4Cclv23hBAJlvftgB8URTmEOTtK1eyZo0dNpX69FhQuWJ7ChQuQJUsm7OzsqFqtAidOnn3NvlatquzefdC6/SIsnOjoaIxGI5GR0cQnJODi7PzacR8SZUooHD5p/qqCrgTjVcjDWvZXWATRMbEsnTGG4T078ejpczwLehAwdS57Dh8H4MS5ixT3KmSbhqIF+DPIXBlcuHEHr/yJwdndxRFHezvs7bQ42Nvh5uxEZEwc26b1Y8Gw71kw7HuyZXJl7sB2Nml4FV/vIhw+cwmAIBGCV4G81rK/wiOJjo1jyYQBDO/yHY+evcDTI0+a+V40OZC+zQbQtMw35CmYB7fMbmjttJSqUIorZ68ms52wbDyKrwLAx1V9uX7xuk2+N09dxbTmI+lXriPZC+TCOZMrGjstXhWKE3I2OJltt/kDyVHQ/F3FR8dhMprIWSg3A9aNRaVWo9Zq8CzvzZ1LIe+kYd6kBXRr0osGpRuTr2Be3C2fv0wlHy6duZzMdsaKSRT39QagfPWPEReDuXDqImUq+2LvYI+jkyOFvApyL/T+m1ylHQZ9yl8ZgH+7s/0qUB7YrChKYWAssBTzEo+7hRA6RVH+7thXGwOvYM5qZiiKkgd4+Z95DXNz2VFFUbyBGpb9SUP390AXIUScoii7gCqYm85ShV6vZ/CgcWzaEoharWbpkrU8fPAYb29POndpTe9eIwDw8ipM6K3ElHzN6s1UrlyWvfvXodFoWL1qM9evv9s/SUbDr1oFjp29QEv/YZhMJsb070bgum145MlFzcplCblzn+bdBmNnp6VPp5ZoNGp6dfyOEVPmsHrLbpwcHRjVt4tNGj4tV5xjl27QetRcc99Hp69Zsv1PPHJmpWbZYhy/fJOWI+egVqkoU7QglUt6ptGn/3v8KvlyPOgqrQZOwoSJMT3asGTzXvLnzk7N8j7cuveIFv1+xE6roU/br9Fo0v4ez6A3MHf0PCYsG4dKpWbnml08f/QcDy8PGrX9gplDZzNjyCy6j+6GQa/nr6cv+GngjDTxbdQbWDc2kJ5LhqJSqzm6Zj9hj/8it2c+arapx8rhv7FzzkbaTPkBg05PQmwCSwbOIeJpGCc2/sGgjeMw6A0c33CIh9dT139k0BuYMepnpq+YjFqtYuuqHTx99IyCXgVo2q4xk4dMZ9Lgn+g71h+9zsDzp3/xY/8pxETFsHXldn7dPAuVSsXC6UuICHvPyylkkL6PlPKvrkeiKIojsBBzpa8BemHOJO4CPkKIa0me2ppLYh9JKOBtqfgnYA4WgcBszIvZ3wYqCyHyWwLUHMxZixPQE3j48lwWHR2BzkAk5qay7y0rhL0RuR5JInI9kkTkeiSJyPVIEkmT9UgWDUj5eiTtJqX7eiTpvrCVoih5gSVCCL90FfIPyECSiAwkichAkogMJImkSSBZ0C/lgaTDlHQPJOn6+K+iKF8BOzH3ZUgkEokEzFOkpPSVAUjXAYlCiA3AhvTUIJFIJBkN0/sep5LGZLiR7RKJRPL/ngySaaQUGUgkEokko2FM927Zd0IGEolEIsloZJCBhilFBhKJRCLJaMhAIpFIJBKb+MAGJMpAIpFIJBkN+dSWRCKRSGxCPrX130NnTP+J0TLCiHIAldPr0+P/6xoywIhyAJWDy9uN3jPxGeC3CaDTpH9TTIwx/u1GHwryqS2JRCKR2IJJdrZLJBKJxCZkRiKRSCQSm5B9JBKJRCKxCfnUlkQikUhsQjZtSSQSicQmZNOWRCKRSGxCZiQSiUQisQX5+K9EIpFIbEMvA8n/exo2qM2QIb3Q6/UELlnNwoUrk5X7+BRn9qwf0Rv0XL9+iy5d+mOycZI2o9HI2Jm/IW7ext7OjlF9u+CRN5e1fMGqTew4cAQXZ2faf/MFNSqVJTwiiv+17YlnwfwA+FWrQMuvGtik421cuHyNaXMWsnj2pPfmw2g0Mm7eSkToPey1WkZ2b4VH7hzW8sBNe9j+xynUahUdm9TDr1IZwiOjGfzTQqJj48jk5kJAt5ZkzWzbOuRGo5GxPwciQu5gb6dlVK+OeOTJaS1fsGYbOw4dw8XZifZNGlKjYhme/hXG4Elz0On1uLu5MqF/F1ycnWzSAVClTmXa9mqJwWBk+6odbF2xPVm5VwlPJgaO496tewBsWrqV/VsOAuDg6MCcLTOZO/43Th48lWoNpf3K8oV/UwwGA3+uOcAfq/YmK8/jmY82P3YGlYrHoQ9ZPHAOeRUPWoxoZ7UpUsaLWZ0mcenQ+VRpqFGnGp37tsOgN7Bp5TbWL9+SrPyjbFkImDII90xuqDUahvYYzb3b9wHIkjUzgVvm0eTTViTEJ6TKf4r5L/eRKIriCFwDNgHThBB33uHYUMBbCBH3Lj7fN4qiNAZOCCEepMX5tFotkycHUKXq/4iOjuHggY1s27aHJ0+eWW2GDe3N+PHT2bnrAIsXz6RBfT9+3773H876dvYfOUV8go7ls8YRdCWYyXOXMGvMAACCQ+6wff8RVsweB0Ar/+FU8C3Jlesh1K9VlSE92tvkO6UsXL6WrTv34+To8F797D8RRHyCjmUTBxIkQpiyaB0zh3QDICIqhuXb9vP7nDHExsfTtPc4/CqVYf66HZQp5sn3TetzPOgqM5dtZlT3VrbpOHaG+IQElv8UQNDVG0yev4JZAb0BCL51l+0Hj7Ji+kgAWvUZTYXSxVm4Zhtf1K7OF7Wr8cuyDazfdZDWjevbpEOj1dAjoCvfN+xGXEwcv2yawZ+7j/Hi2QurjeJTlNXz17F63trXju8z3t/mGx2NVkPz4W0Z88Ug4mPjGbJuLOf3niLiWbjV5qsB37J+8gqCT16l/ZQf8K1djrO7TjKpeQAA5RpU5sWjv1IdRLRaDf1H96RFvfbExsSyZOs8Duw6zF9JrkPv4T/w+4bd7N6yj/JVP6aQVwHu3b5PlZoV6Tm0G9lyZLXpOqSYD6yPRJ2ag4QQvd4liGRwegK23Xomwdvbk5s3QwkLC0en03H06CmqVauYzOZ80CWyfJQZADdXV3Q62+dLOnvpGtXK+wJQunhRrgTftJaF3LlH+dLFcbC3x8HeHo+8uQgOuc2V6yFcuR5C2z4B9Bk9jafPX/zd6dOE/HlyM338sPfqA+Dc1RtU/bgEAKWVwly5cdta5uToQO7sWYmNjycmLgGVSgVAyN2HVCtrPsbXuwjnrt6wWcfZy8FUK+tj1lHMkyvXb1nLQu4+oLxPseTfya27DOj8Hf/7tAqn0jQAAAAgAElEQVRGo5FHT5/j5mL7fF4FvQpwP/Q+UeFR6HV6Lp66ROlKpZLZKD5eVParyKz1PzFwSj+cXMxZUPPOTbl0+jI3r4TYpCG3Zz6e3H5ETEQ0Bp2e66evUbRC8WQ2P3eZQvDJq2jstGTKnpmYiBhrmb2TA416N2PlqIWp1lDIqyB3b90jMjwSvU7PuRMXKFu5TDIb3/I+5MydnV/XzKThV59x+uhZwJxddmrWg/CwiFT7fxdMRlOKXxmBt2YkiqK4AsuBLMANy76DQBcgKzAV0AExQBPga6AR4AZkA0YLIdYnOV9JYBqgsZR3FUIcVRSlA9DVsn+LECJAUZSmQB/AAPwphBikKMpIwNNybFbgZ4vPokAbIcRxRVF6AN8CJmCVEGKmoiiLgXigIJAbaGv56wssURSlmhDC5nzV3d2N8PDECRYjo6LIlCn5RIc3boQyY/pYBg/yJzw8kkN/HLPVLdExsbi6OFu31Wo1eoMBrUZD0UIeLFi5ieiYWHQ6PeevBNOkYW0K5c9L8TaFqVzWh237DvPj7IVMC+hrs5a/o06tatx/+Pi9nf8lUTFxuCZpDkp6LQByZctCox6jMBhNdPz6MwCUQvk5ePICxQp7cPDUBeLSoOniH7+TgvlYsHqr+TvR6zl/5TpN6tVCpVKhNxho0m0o8TodXb5tbLMOZ1dnoiKjrdsxUbG4urkms7l67hpbV2wn+OJ1Wvl/S7s+rTlx4CT5CudjysCfKFW+pE0anFydiI1MDAxxUbE4uTknszEZjWTNm41+ywKIjYzh7tVQa9kn3/hxavsxol6kfvJSVzcXIiOjrNvR0TG4uSUP1Hny5yYiPJJOzfzp3Kc97bq34pdJ8zn+R+qb9FJFBgkQKSUlGUkX4JIQ4hNg3itljYA1QA1gDuZgA+AC1AHqAtMURUkasEoAfYUQfsBEoJ2iKDmAQUB14GPAQVEUD2AU4CeEqAbkVRSljuUcsUKIesB6oIEQ4nNgAtBcUZTiwDdANcv5GimKoliOuy2E+AyYBXQSQvwOnAda2xpERo7sz+7da1i/biHu7on/pG6uroS9chczdcpIPvX7Gp/StVi+fD2TJg63xTUALs5ORMfEWreNJpO14ixcIB8tGtWjy+DxjJ+9AB9vT7JkcqNimZJU8DVXEH5VK3D1RqjNOjICrs6OxMQmtqAmvRZ/nr3Esxfh7Jg3jt3zx7P/RBAXg2/RsUk9Hjx5TtshU3jw5Dm5smX5u9OnGBdnJ6KT6jAaE78Tj7y0+KI2XYZPZvwvS/BRipAlk/l3Y6fVsvnXiQT4t2fIlLmp9t9xQDtmrp3KhEVjcHFNrDCdXZ2IiohKZvvHzj8JvngdgMM7jlC0pCcNm9ensFKQmWunUqFmeboN7YRniSLvpKFx3+YMWDWKHr8NxMk1MXA4ujoRExH9mv3z+88YXKsHB5bvpvnwttb9lRpV549V+97J90u6D+zEgg0/MzNwMq5JAoeLizORr1yH8BfhHNx1GIBDu/+kRGnvVPm0GaMx5a9/QFEUtaIocxVFOaYoykFFUTz/xmaHoihdUis3JYGkKHASQAhxAnP28ZLxQB5gH+Zs5GXZISGEUQjxGHgBZE9yzH1guKIogZZj7IDCmINVrBDCJIQYBOSyHLfdkgEVB17+is9a/oYBVyzvXwCOQEmggEXTPsxZi5fF5pzl712LbZoxcuRk6tZtRn6PMhQpUpAsWTJjZ2dHtWoVOHHibDLbFy/CiIw031k9ePiYzFky2ey/TAmFwyfNHy/oSjBehTysZX+FRRAdE8vSGWMY3rMTj54+x7OgBwFT57Ln8HEATpy7SHGvQjbryAj4ehfh8JlLAASJELwK5LWWubs442Bvh72dFgd7O9xcnIiMjuXM5et8Xbcai8f3I3+u7Ph6v1uF+SbKFC/K4VPm9vygqzfwKpTfWmb+TuJYOnUEw3u049Gz53gWyM/Y2Ys5GWT+Sbs4OaJWp6r1GYDfJi3Cv2lfvvBtQt5CeXDL7IbWTkvpij5cOnMlme3U5RMp5mu+3ypbrQziwnVGdx9Pt0Y98W/al5MHT/HLuF+5cfnmm1z9LRunrmJS8wB6l+tIjgK5cMnkisZOS9EKxbh5NjiZbY/5A8lR0PyASFx0rPURWCc3Z7T2Wl48fJ6q6zB74q90+OoHapVqQP6C+XDP7I7WTkvZSr4Enb6UzPbcySCq+1UxX4dKvtwUt950yveP3pjy1z/TCHAUQlTGfLM+9Q02Y0lMAlJFSjrbrwCVgc2KopTBXPG/pCWwWAjRT1GUwUAn4DZQFkBRlJyY+x+eJDlmJvCdEOKqoiijMDc13QS8FUVxEELEK4qyDuiLucKvI4TQKYrSFnP20Ahzk9XfIYDLQH0hhElRlN7ABcxB603HGUllX9Gb0Ov1DBgwmm1bl6FWqwgMXMODB4/w9vaiW9e2+PccSpeuA1i69Gf0egO6hAS6dhtos1+/ahU4dvYCLf2HYTKZGNO/G4HrtuGRJxc1K5cl5M59mncbjJ2dlj6dWqLRqOnV8TtGTJnD6i27cXJ0YFTfVN+QZCj8KvlyPOgqrQZOwoSJMT3asGTzXvLnzk6tCqU5fuEa3w2YiFqtokwxTyr7FuPuo6cMnb4YgBxZM9vc0Q7gV6Usx85domWfUZhMMKbP9wRu2IFHnpzUrFiGkLsPaO4/wvyddGiBRqPm2y/rMmbWIuau2IRapWLYD21s1mHQG5g9ai5Tl09ArVbz+6qdPHv0jIJeBfiq3ZdMGzKTqYNn0Gtsd/Q6PX89fcGkAdNs9vuqhlVjF9NnyTBUahV/rjlA2OO/yOOZj0/b1GPZ8N/YPmcTHaaYNSTExrN44BwAchbKzbN7T23WoNcbmBIwk7mrfkKtUrNx1TaePHpK4aIFadG+CeMGTWHKyFmMnDqYZm2+IioyioFdA2z2mxpsfbghCdWAnQCWZv9ySQsVRWmCuQ7caYsT1dsEW57UWoI587iGubnoIeYmr0zADCDaIqYT5mauzpj7TDIBw4QQO18+tQV0A9pjziDuAdmEEHUsgaIL5sp+qxBivKIoLS32GiAUaAcMAB4JIeZaUrFcQoiRiqI0AuoJIbooitIfc8BxwJxN9QAWYO4v2akoSj2guRCiraIoY4F6QF0hxF9vugYOjvnTvcEy8vq29JYAZIyFrYxPb7/d6F8gIyxs5Vd9cHpLAMDLzvamQFs5HXc/vSUAcOHRMZWt54j4vm6K6xz3+bv/1p+iKL8B64UQOyzbd4DCQgi9pb96NOab7BFY6tXU6H1rIHlXLAHB29I89Z9ABpJEZCBJRAaSRGQgSSRNAkmHOikPJAv2/FMgmQYcF0KssWzfE0Lks7yfhPnGPxZzy1AC4C+EeOfsRA5IlEgkkgxGGj7WewT4HFijKEol4OLLAiHEgJfvLU/DPkpNEIH3EEiEEIvT+pwSiUTy/4q0CyQbgTqKohwFVJifku0D3BBCbPnnQ1OOzEgkEokkg2HSp00gEUIYMfc9J+XaG+xG2uJHBhKJRCLJaHxgAxJlIJFIJJKMxoc1Z6MMJBKJRJLRyChzaKUUGUgkEokkoyEzEolEIpHYQlp1tv9byECSAhw0dm83es8YH9k+rXlaoHL9KL0loM5eIL0lAGC4d+XtRu+ZO3G2Tx2SFuTTpv9A1UL2/9JaIf8CH9i6VjKQSCQSSYZDBhKJRCKR2ILMSCQSiURiGzKQSCQSicQWZEYikUgkEpsw6tNbwbshA4lEIpFkNEw2z0T/ryIDiUQikWQwZNOWRCKRSGzCZJQZiUQikUhsQGYk/0+pV/9TBg32R6/Xs3TJWgIXr05WvmjxDHLkzA6AR4F8nD55juXL19O7j3mpAJVKReUq5ahYvh7B4uY7+zcajYxbvIXgOw+x12oJ6PgVHrkSR/oGbj/MjqNBqFUqOnxRE7/yJaxltx48oWXAHPb/PAQHe9tG8RuNRsbNW4kIvYe9VsvI7q3wyJ0jUcemPWz/4xRqtYqOTerhV6kM4ZHRDP5pIdGxcWRycyGgW0uyZna3ScfbuHD5GtPmLGTx7EnvzYfRaGTcgg0E336AvZ2WgM7N8MiVzVoeuPUgO46cM38njf3wq1AKg9HIlCVbuHLzLgl6PV2afEaNssVt1uL3WQ169u+MQW9g9fJNrFq6Pll51mwfMWF6AJkyuaPRqOndbSh3Qu/Rxb8dX3xVn6jIaObOWsT+3X+kWsPHfuX5qmczDAYDh1bvY/+qPW+0q/LlJ3zWtgEBjRNX63b7yJ1R639kYL1e6OJ1qdZQvnYFvunZHIPeyN41e9izctcb7T75sgYN237OwMb9AOg4shPFyhcnNioWgPEdxxATGZNqHW/DaPh/lJH8F9dnTw1arZYJE4dR85NGREfHsmffWrZv38fTJ8+sNu3a9gQgc2Z3tu1YwaBBY3n86Cl795j/Mf17fc/x42dSFUQA9p+5QoJOz9KRXblw4w5TV2xnRp9WAEREx7Ji11G2Te1LbLyOZkNmWQNJVEwcU5fvwM4ube4p9p8IIj5Bx7KJAwkSIUxZtI6ZQ7qZdUTFsHzbfn6fM4bY+Hia9h6HX6UyzF+3gzLFPPm+aX2OB11l5rLNjOreKk30vImFy9eyded+nBwd3psPgP2nLpGg07F0rD8Xgm8zdekWZvRvD1i+kx2H2TZzMLFxCTQbOA2/CqXY9sdp9HoDgWN68PivcPYcC7JZh1arZcTY/nxeuwWxMbGs37GEvTsP8OzpX1abwSN7s2nt7/y+eTeVq5XH06sQTk5OfPl1AxrV/Q6ADTuWcvTwSeJi495Zg0arodWI9gz7vB9xsfGMWv8jZ/aeJPxZeDK7giUKUeub2qhIrEh9PvGlxaDWZMpu27rwGq2GDiM60vfz3sTHxDNhwyRO7jlB+LOwZHaFShSmdvO6qJLU5UVKFWFkyxFEvoiwSUNK+dCattTpLeC/gOLtSUjIbcLCItDpdBw7dpqqVcu/0XbI0F7Mm7OEx48S50jKkycXzVs0ZsL4manWcE7cpoqPFwA+nh5cvnXfWubkYE/urJmJjdcRG5eASm3+kZpMJkYv3EiPZnVxsjETseq4eoOqH5uDVGmlMFdu3E7U4ehA7uxZiY2PJyYuAZXlPzXk7kOqlTUf4+tdhHNX3++8Yvnz5Gb6+GHv1QfAOXGLKqW9AfApWoDLN+9ay5wc7MmdPQuxcQnExidei6NBghwfZaL7hN8YPW9NmmQjnkULEXrrLhHhkeh0ek4dP0eFymWT2ZSr4EvuPDlZvuFXGjVpyLEjp/EsWojjR04TH59AfHwCt0JuU6xE0VRpyOuZj8ehD4mOiMag0yNOXcW7QolkNq6Z3fhmQEuWjFqQbL/JaGLctwFEh0WlyvdL8nnm52HoQ6LDo9Hr9Fw9dYUSFZNrcMvsRqsBrVkw8lfrPpVKRZ6CefhhQncmbJiEX7M6NulICSZTyl8ZgbS4Da2kKMpuIDswB7gFjAXigOdAe8AXmAgkAL8C3kAti//1QoiJiqKUAmZiXlf45XFlgKGYx3nmAn4VQvysKEoZYBZgsPj5HugNHBFCrFMUZSewWwgxTVGU+cAiwA4YZznmJtAZ+M7iRw0ECCH2peYCuLm5Eh4ead2OiozC3f31SeyyZc9KjZpVGDRwbLL93f078PPshSQkJKTGPQDRsfG4OTtatzVqFXqDAa1GA0CurJloPGA6BpORDp/XAGDuhn1U9/VGKZA71X5fJSomDldnJ+u2Wq1OriNbFhr1GIXBaKLj158BoBTKz8GTFyhW2IODpy4QF5/665AS6tSqxv2Hj9+rD4DomLhXvpNXrkXWzDTuOwmD0USHRp8CEBYZzZ1Hz5g1sANnroYwYs5qFo36wSYdrm6uREYk/j6jo6Jf+33m88hDeHgE333VCf9+nenq344tG3bwQ68OuLg6Y2dnR9kKvqxcsv7V06cIJ1fnZE1BsdGxOLs7W7dVajWdJnVn6ZhFJMQl//4v/ml7Vgbg7OZMTGR0ooaoWFzcXKzbarWa7pP9WTjmt2QaHJ0d2bZ4G5vnb0KjUTN29XhuXLjO7WuhaaLrTXxoGUlaBBId8BlQANgBOALVhBD3FUXpCQwDtgGOQoiKAIqihAI1gYdAW8t55gPthRBXFEXpAAwA9gB5MQcUNXBRUZS1FtuOQojziqJ8CUzDHITaKIryO5AF8FMU5SegLNAJEBZdTxRFGWPxqwNeCCG+TM0HHz6iD5Uql6NkSW9Onz5v3e/6SmB5SaNG9Vm7ZgtGY2JPmkqlol69Txk9ckpqJFhxcXIgOjbeum00mqwV1pGgYJ6GRbL9J3N7b9dJi/AtWoDfj5wn50eZ2HTwNM/Co+gycRGLhneySYersyMxSZo+jKZEHX+evcSzF+HsmDcOgC6jZuLrXYSOTeoxYf5q2g6ZwiflSpErm21NGBkFF2dHouOSfCdJrsWR81d5+iKC7bOGAtB1/K/4KoXI5OpCjbLFUalUlCtehNsPUz+7b78h3SlXsQzFShTl/JmLibpcXYh45ff54q9w9uw4CMC+XYfoP7QH0yb8QuBvq1iyZg737z3i/JmL/PX8xTtpaNbvW5RyxfEoVoAb54Ot+51cnIiOSKzUC5cqQu5Cuekwtgt2Dnbk9cpP6xEdWDJ6wZtO+058168lxcqXoGCxggSfE4kaXJNrKFLKkzyF8tBl3A/YO9iR38uDDgHfs2jMArYt3EKC5bu8cPQChYoXkoEkCWkRSM4KIUyKojwCPIAbQoiX7Sp/AOMxBxKR5JjvgAmYs4wdln3FgF8URQFz9nDdsv+oECIeQFGUS0ARII8Q4mXN/YflXH8CMzBnOuuBJkB14BjmbCk3sMZyfifMQerGK7reiTGjpwHmNuhTZ3aTJUsmoqJiqFK1PDOnz3/NvmatqkyeNDvZvuIlFIKDbxKXpMJJDWWKFuDQuWt8VsmHCzfu4JU/l7XM3cURR3s77O20qFQq3JydiIyJY9u0flab+r0mMXdgO5s0gLlp6tCpC3xWrRxBIgSvAnmT6HDGIakOFycio2M5c/k6X9ethq93EfYcPYuvdxGbdWQEyiiFOHTmMp9V9uVC8G28PBIzP3cX5+TfieValPEuxOFzV6ld0QcR+oBc2TKn2v+U8ebfmlarZe/RjWTK7E5MdAwVK5fl158Dk9mePnGOWnWqs3HNNipULkvwtZt8lDULLq4ufN2gDW5urixdPw/xjs2Oa6asAMz9E5P3zsIlkytxMXF4VyzBtl83We1uBl2nfx1/ALLly4H/rL5pEkQAlk9ZZtUwe98cXC0ailcsycZ5G61214OC6VHbnP3lyJeDfrMHsGDUfPJ55qP/zwPpXb8nKrWK4uWKs39dqhovUkxGabJKKWkRSJJ+5GeAu6IouYUQD4EawMvbECOAoigOQFOghWX/FUVRVmGu0FsLIe4oilIVc8UP4KsoigZwAEpgDjAPFEXxEUJceOlDCGFUFOU05kymF+YgNQlz09gz4B7wpRAiXFGUL4AozIHP5gft9Ho9gweNZePmQFRqFcuWrOPhw8co3p507tyaPr1HAODlVYjQW3eSHevlVYjQ0LtvOu078Wm54hy7dIPWo+aa+z46fc2S7X/ikTMrNcsW4/jlm7QcOQe1SkWZogWpXNLTZp9vwq+SL8eDrtJq4CRMmBjTow1LNu8lf+7s1KpQmuMXrvHdgImo1SrKFPOksm8x7j56ytDpiwHIkTXze+1o/zf5tHxJjl0IpvXwmZhMMLrrNyzZdgiPXFmpWa4kxy8G03LYTPN34l2Iyj5FKVe8CGN/W0fLoTMwAcM7NrFZh16vZ8zwKSxdNxe1Ss2aFRt5/PAJXkph2nRswbD+4xg7fAoTZ4ykVbtmREZE0aPTQCLCI/EsWogte1egS9AxPmBasmz6XTDoDSwbs4jBSwNQqdUcXLOXF4//Iq9XPj5r05CFw+bZ/DlTomHhmN8YuWw0KrWafav38Nfj5+T3yk+DNv9j3rA5bzzu3o17HNxwgEmbp2DQGTiwYT93g++80TatMBo+rO5rlcmG0Jf0qS1FURyBa0BHYAzmCvoF5iakkkAXIURzy3EjgIZALBCEueL/GJiKObiZgA5AHsxZxmMgKzBTCBFo6SOZgbk/RQ90EEKEKIpSH1iMOYjUBZYDuYQQekVR6gIjMDeRRQCtgQak4Kkzd5fC6X5/8OTg5PSWAMiFrZKSERa2UvyGpLcEAKq4Fk5vCcSYMsYEVZvvbLO5XepG8c9SXOd4XtmV7u1gNgWS942iKDVJEoDSCxlIEpGBJBEZSBKRgSSRtAgkwcXqpbjOKXp1Z7oHEjkgUSKRSDIYJjlpY9ohhDgIHExnGRKJRPKv8v/xqS2JRCKRpCEZuMfhjchAIpFIJBkMwwf21JYMJBKJRJLBkH0kEolEIrEJ2bQlkUgkEpswyoxEIpFIJLYgm7b+g8TobJsHKy3ICAMBAVQOLm83es9khIGAAJp8tk/xbiuVMsBAQIBcKse3G71n/tQ9SG8JaYZBPv4rkUgkEluQGYlEIpFIbEL2kUgkEonEJj6wh7ZkIJFIJJKMhsxIJBKJRGITso9EIpFIJDZhQAYSiUQikdiAMY06SRRFUQO/AKWBeKCjEOJGkvLvgc6YFwgcK4TYlho/H9bMYBKJRPL/ACOqFL/eQiPAUQhRGRiEeRVaABRFyQX4A1WBz4AfLUuhvzMykEgkEkkGw4Qqxa+3UA3YCSCEOA6US1JWATgihIgXQoQDNwCf1OiVTVtpxP8a1mHo0F4Y9AYWLV7FgoUrkpWXLl2CX2ZPQK/XE3w9hE6d+2EymejapQ2tWzcDk4mpP81j3bqtNmsxGo2Mm7cSEXoPe62Wkd1b4ZE7h7V84YZd7PjjFC7OjrRrXJca5VP12/lb32N/DkSE3MHeTsuoXh3xyJPTWr5gzTZ2HDqGi7MT7Zs0pEbFMjz9K4zBk+ag0+txd3NlQv8uuDg72aRh3IINBN9+gL2dloDOzfDIlc1aHrj1IDuOnEOtUtGhsR9+FUphMBqZsmQLV27eJUGvp0uTz6hR9v2OXL9w+RrT5ixk8exJ79XPx37ladKzGQaDgQOr97F/1Z432lX98hPqtW3A8MaDAGjQ4XOqfF4dgPMHzrBuxmqbdJTw+5i6/l9jNBg4seYgx1ftT1ae0zMvzX78HpVKxdPQR6weOA+jwQiAy0du+K8bzeT6A9DH61KtoXqdKnTs3Qa93sDWVdvZtCJ5S07Rkl78FDiBu7fuAbB+yWb2bNlPr4Af8K3gg9FoZPron7lw6lKqNaQEY9qdyh0IT7JtUBRFK4TQv6EsEsiUGif/iYxEUZRBiqJU+Ifyg4qieL9hf/e08K/VapkyOYD6Db6llt/XdOz4HTlyZEtmM3xYb8aO+4katRrj4GBPwwa1yZo1C507t6b6J19S57NvmDxxRFrIYf+JIOITdCybOJCerRszZdE6a1lw6H22/3GSZZMGMm9kT35euZXY+IQ08Quw/9gZ4hMSWP5TAL3afcPk+YkBNfjWXbYfPMrynwL4ddwAfl66nti4eBau2cYXtasTOGU4xYoUYP2ug7ZpOHWJBJ2OpWP96dmiIVOXbrGWRUTHsmLHYZaO7cHcoZ2YHLgZgG1/nEavNxA4pgfT+7fn7qNnNml4GwuXryVgwgwS0vDavwmNVkObEe0Z13IkI5sNo/a3dcmU7fW6omCJQtT6pjYqyx1ujvw5qdaoBsO/GsSwRgPw+cQXD+8Cqdah1mr4cnhr5rYaz+xvRlG5hR+ur+hoOKA5v09excwmAQCUqF0WAOUTH7osHYJ79lTVcVY0Wg29R3ane4u+dP7an8YtP+ejbFmS2RTzKcqKX9fQpUlPujTpyZ4t+/EqXgSfciVp27AzAf7j6Demp006UkIaZiQRgFuSbbUliLypzA0IS43e/0QgEUJMEEKcTMWhw9LCf7FiXty8GUpYWDg6nY6jR05RvXqlZDbnz18iy0eZAXBzc0Wn0/H8+QvKlquLXq8nV64cxMWlzZxe567eoOrHJQAorRTmyo3b1rJb9x5SrmRRHOztcLC3o0DuHASH3ksTvwBnLwdTraw5wyldzJMr129Zy0LuPqC8TzEc7O1xsLfHI28ugm/dZUDn7/jfp1UwGo08evocNxfb5vM6J25RpbT5vsGnaAEu37xrLXNysCd39izExiUQG5+ASmX+RzwaJMjxUSa6T/iN0fPWvPdsJH+e3EwfnyY/v38kr2c+HoU+JDoiGoNOz7VTVylWoUQyG9fMbjQf0JLAUQus+54/fMaPrUfxf+ydd3xUxdeHn91NLxQF6Z0whI50LD8RsOBrl6ZIEaUJCNKUXkXpIIr0pjQBQRRREVCwoRTph1Cl10DKpm15/7hLmtRsspvAPHz2k925c+/5cu/uPXfOzJxxOoxnY4uPhSQ3WgIFyhbh4vGzxEXFYk+yc/RvoUzttM92cztN4MjWA1h8LYTmz01clBUAp8PJtNdGYb0am2H7AKXCSnDy2Cmir8ZgS7Kxc+tuqtetmqZO+cqKhxrWY/rKjxk4vh9BwYGcP3uR+LgE/Pz9CA4JwpZku4GFzMN2B69b8CvQBEApVRfYnWrbVuARpVSAUio3EA5kqKmVLUNbSqltwNNAJHAJeExEtiultgPzgRYYkz+XiMgUpdQ8YAnwM7AAKAycAB4VkcKuww5RShUAgoGWrtd9SqlPRaSLO3pzhYZwNSo6+XN0TAy5c4WmqRNx6CgfTx5F//ffIepqFJt+/h0Au91Ol85tGTK4N1M/mU1mEGONJyRVaMhsNmOz2/GxWAgrUYTZK74nNi6epCQbOw8c4eUnHskUuwCx1jhCgoOua7tcyaLMXrqGWGscSTYbO/dF8MpTDTCZTNjsdl7pMoCEpCQ6vfqimxriCQ1KSSJoSaUBoOD9eXix1xjsDiftX3gcgCvRsfx79iIf988eqksAACAASURBVGvPtv1HGDxtKXOHve2WjpvRuMHDnDpzLsuOf43AkCCs0dbkz3GxcQTlSrk+JrOZTmO6snDEXBLjU1pHdpud6EjjO91qQFuO7T3KmaMZT4oYEBJIfHRc8uf4mDgCQoPS1HE6nOQtko/Onw8gPtrK6f3GA9DBLbvJDIJDg4mJTnFG1lgrIbnSPrTs27mf1Yu+4cDug7Tr/jpv9WrH7EkLcDodfPnLQkJCQxjVJ2tDkcDttDRul6+Axkqp3wAT0E4p9S5wSES+VkpNATZjNCoGiEh8RoxkS0cCrMYYRXASOAo0UkrFY3QGNcXoQAL4USn1far9OgBHRaSpK5S1N9W2b0Xkc6XUUOAVERmllOrmjhMZPqwvD9WvReXK4WzduiO5PDQkhCtXo9LUnTh+OI89/hL79h2kc6c2jB0zmO7vDADg02nzmDnrC75d8zmP/a8+m37+LaOSAAgJCsAal/J9cDidyTfR0sUK0aLJY3QeNoWC+e+jcrmS5M0V4pa91AQHBRKb2rbDkWK7eBFaPteIToPGUij//VRRZcib27Dt6+PD6hkf8fuOPfQf9xnzxmb8aT04KIDYVK271P//X3fu50JkFGs/Ns595w9mUE2VIndIMP+rUQGTyUTNCmU4fuZChu1nB5r3fhVVswIlwksQsfNgcnlgcCCxUSk309KVy1CwVCHaj+yEn78vRcKK0WZwe+YPn42vvy+dxnYjPiaOWQOnZ0jH072aUbpWeQqVL86/O5NHnRqOJcr6n/qRpy7yQYOe1GnegBcGvc6iXtMyZDc1nfq+SbXalSkbXoa9O1IyRwcFBxF9NSZN3Y3fbSYmyijb9N0v9BnZg2eaPsml85fp1rI3QSFBzFo1lT3b93E+C78jmZX8V0QcQKd0xQdSbZ8JzHTXTnYNba3EaI49BQwAGgHPASuAEsBPrtf9QFiq/cKB3wBE5ACQ+kpvc/09C6R9FMogg4eMoWHjphQuWo0yZUqRN28efH19efiROvzxx7Y0dS9HXiHK9QU9feYcefPmply5Mny5zLiGSUlJJCQk4HC4381WrXwZNm8zWqj/yBHCShRJ0XE1mti4eBZ82JdBnV7j7MVIyhYvfKND3THVK5Rj8187Ddv7DxFWqliK7StRxFrjWTh+MIO6tePsxUuULVGMkVPnsfUf4wceHBiA2eze17K6KsWWHfsB2HXwOGHFCyVvyxUcRICfL36+Pvj7+RIaHEh0bBzVy5dis2sfOXaagvnyuKXB2ywdt4jhLQbSoUZbCpYoRHDuECy+PoTXqcjBbZJc7/A/EfRu3J3hLQYyudt4TkWcYP5wo2XcZ2Z/ju87ysz+05JDXHfKd+OX8UmL4Qyu2ZF8JQoQlDsYi6+F0rXLc2z7wTR128/sTb6SBQFIiI3HkUmTKT4bM4tOr7zDk1Wfp2jJouTKE4qPrw/V61Zl97a9aep+vGgcFaqFA1DrkRrs3y1EXYnGGhuHw+HAGmMlMTGJwKCsTZuficN/PUK2bJGIyB6lVGmgIPA+0B94HsOz7gWeFhGnUqonsAt4xbXrHqAesEopVQZI3eN9vW9lplwFm81Gn77DWPvtF5jNZubNW8Lp02cJDw+jS+d2dOven44de7Po80+x2WwkJibRsXMfjh8/ya5d+/h18xqcTifrvt/AL5v/cFtPw7rV+OOf/bzebwxOnIzo1oYFq9dTrFB+HqtVhaMnz9Ky92h8fSy82/ZlLJbMe55oWL8Gv+/YQ6t3h+F0woh332L+yu8oXrgAj9WpzpETp2nRfTC+vj68274lFouZV59/ghEfz+WzRaswm0wMfLuNWxoer1WJ33cdpPWgKTidMLxzcxZ88zPFC97PYzUr8cfug7QaOAWzyUT18qWoV6UcNSuUYeSs5bQaMBknMOjNV25pJydgt9lZMGIuAxYOwWQ2s3HZeiLPXaZIWFGeavMMs2/Q0qj1ZB3C61TEx8+Xao8Znd6LxywkYrtct/6tcNjsrB65kI4L+mMym/hz2SaunoukQNkiPNzmSVYMmsNP077m1XGdsSXZSIpLYGm/GRn+f18Pu83OpGFT+XjROExmM2uWrOXC2YuUCitBs3Yv8VH/iXz4/gT6jHwHW5KNSxcu80GfscRZ46laqzKzv/4Us9nMupU/cjxVv1tWkNOSNpqc2XRxYKXUR0ApEWmmlBoNVBCR55VSfTAm2fhjdBZ1A2aT0kcyDygEHAdeFJEQpdQmoJOIHFBKdQIKishQpdRG4JSItLqZFh+/Il4/SbH/fO5tCUD2WNjKEXXe2xKA7LGwVasa73pbAgCFs8PCVonZY2Grv07/4vYD6vJCr932PeeVM194vVmSbR1JRlBK1QdCROQHpVQYsE5Eyrh7XO1IUtCOJAXtSFLQjiSFzHAkX96BI2maDRxJtgxtucERYLFSagjgC2TdsBuNRqPJIjJxQqJHuKsciYicBRp4W4dGo9G4Qw5bsv3uciQajUZzN5BdRmPdLtqRaDQaTTbD652yd4h2JBqNRpPNsOWsBol2JBqNRpPd0C0SjUaj0biF7mzXaDQajVvo4b8ajUajcQvtSO5CIt/MvBUEM8ozT3zobQkAJDiyfi2GW/FvfPbIzFs3pLS3JfD5tgnelgBAZPN23pZAXKSftyVkGk4d2tJoNBqNO3j/ce3O0I5Eo9Foshl61JZGo9Fo3EKP2tJoNBqNW+jOdo1Go9G4hXYkGo1Go3ELuw5taTQajcYddItEo9FoNG6hR23di5hM+Ld4G0uR0jhtScR/MQnnhTP/qRPYZRi2XX+QtHktBAQR2K4vBARhsvgQv2IGjqMHMk1S3UZ1eL3Ha9htdtYt/YG1i79Ls71sxTKMnDecU0dPAbBm4bdsWvNzptiu37gebXu0wm53sHbJd6xZtDbN9rCKZflo/ihOHj0JwKqFa9jw9SYA/AP8mfb1FD77YBZbN/3llo6GT/6Pd/p0xG6zs/SLVSxZuCLN9vvz3ceHk4aQO3cuLBYzPbsM4N9jJ+nUvR3PvfQ0MdGxfPbxXDb88EuGNTzYsBavvNMMu93OxqU/sWHJj9et99Dzj/JU2yYMevE9AJq0f5b6zz4CwM6N21g+eWmGNdyKXXsPMGHaHOZNHZNlNjCZCH2nJz5lyuJMTCR6/Fjsp08lbw58uSkBDR4HIOHPP7AunI8pOJhcA4dgCgyExESiRo/CEXnZLQ33vd8dv3JlcCYmcWnEeGwnUpbnDX3tZYKfeAyAuF+3cnXGwhR9DR4iuNH/uDjgg4zbvwMcOcyVZAtHopR6DOgkIi3cOMZ9wFMiskgp9R6wQUS2ZpbGm+FTtR4mHz+s497FXLI8/i+9Rfz04Wnq+D3bGlNQaMrnhi9hO7CTpI2rMD1QhMA33sP6YbdM0WPxsdB5SCfe/r9uxFvjmfzVBH778XeuXLySXCeschjLZ65k+YwVNzlSxmx3G9KZt57pQrw1nk9XTWbLD78TeTEyuY6qUo6lM5ezdPqX/9n/3Q+643S6/yPy8fFh8Mg+PNuoJXHWOFZ8t4D16zZy8ULKjej9oT1Z9eW3fLv6B+o9XIuyYaUIDAzk+Zeb8MITrwGw8ruF/LZ5K/Fx8XesweJjoc3gN+j/bG/i4xIYsWI029Zv5erFq2nqlaxYigbNG2FyLWb0QLECPPzC/xjwfF+cDgfDV4xm6/d/8O+B426ckesz54svWbNuA4EB/pl+7NT4P/Qw+PkR2a0LPuEVCOnUhauDBwBgLlSIgIaNiOzaGRwO8kyeSsKvm/GrVh3b0SPEzviMgCb/R1DzFsR89mmGNQQ2eAiTnx9n23bHr3I4eXt24sK7gwHwKVKI4Kcf52zrbuBwUGDOJKwbt5AUcZS8vbsQWK8miQcPZ8q5uB1yWmjL7G0BmUgV4DkAEfnQU04EwFKmIrZ92wBwHDuApURYmu0+1R8GpxPbvr+TyxI3fEXSFuNJ3WSxgC0x0/QUL1uc08dOE3M1BluSjT1/7aVKncpp6pSrEkadx2szYfk4eo3tSWBwYKbYLhlWglPHTiXb3v3XHqrWTWtbVQmjXsM6fLxiIv3G9U623aJjU/b8vZfD+464raNsuVIcO3qCqKvRJCXZ+OuPHdSuVyNNnZq1q1GocAG+WDmDF155ht9//Zuy5Urxx69/k5CQSEJCIkePHCe8YrkMaShStihnj50hNioWe5KNA3/tJ7x2xTR1QvKE0qJvK+YPm51cdunMRUa3HobTYdxOLD4WkhKSMqThVhQrXIhJHwzMkmOnxrdyFRL/Mn6Stv378FEqeZvj/HmuvNcXXP9fk48PJCZiO3IEU2CQURYchNPm3nzvgGqViPvNaOUm7t6PX4WU62o7d57zXd9Po8GZYPwmE3bt49LoyW7ZvlOcd/DKDmSoRaKUygXMAvIAhYFPgO3AJAzndAp4DePmnr6sLDAFMAGXgDfSHbsp8C5gB7aIyHtKqaFAfSAEaA+0BmoC9wP/iEg7YABQVSnVwVV3CfATMBcoDViACSKyVCm1CdgJVAJyAU1FJOOPewFBOONiUz47HGA2g8OBuVAJfGo9RvzMUfg1eTWljqu+KVdeAtr2JWH59AybT09waBCx0Sl6rDFxBIcGp6lzYKewdvF3ROw+xKvdWvJ6z1bMGDnTbdtBIUHEpLMdEhqSps7+HQdYs2gtB3dH8Hr3V2n3bmv+3LiVoqWLMq7fRCrXquS2jpDQEKKjopM/x8bEkitXaJo6RYsX5urVKF57qQPde3ekc/d2fL3yO97u0Z7gkCB8fX2pUbsaixdkrNUWGBKENdqa/DkuNo6gXEHJn01mM53GdGXhiLkkxqc8SNhtdqIjDe2tBrTl2N6jnDmaEoLJTBo3eJhTZ85lybFTYwoKwhmb6jdid4DZAg472O04o4xWWkjHztgORWA/eRKTnz/+NWviN2c+ptBQrvRwr8VuCg7CEZNOg8Vs/LXZcVyJAiBPjw4kyiFs/xqhN+sPm/CvUdUt23fKvbKwVVlgiYisVEoVBn4GYoGWIrJfKdUeCAemX6fsU+ANEdnnKusL/AjJ4alhQE0RsSqlFiqlGrts7heRd1xOLFJEGiulzMBepVQRYBRGeGyGUqq+a5+OwAURaaWUCgW2K6V+cm3bKiI9lFKjgJZAxrMixlsxBaR6ojeZk59sfOs2xJz7fgLf+RDz/QXAloTj0jns+7ZhLlySgDfeI2HlLOwRuzNs/hrt+rShUq2KlAovzYEdKf0tQSGBxETFpKm7Zd2vxEbFJr/vOryLW7bf7NuOKrUqUSa8NPtuYfuXdVuIcdne/N2v9BjZlXwF7qdg0QJM+XI8xcsWp1ylMC5fuMyhvXcWTujdvys161QnvGI5dm5LOafBIcFEXY1OUzfy8lV+/G4TAD99/zN9BnRjwoefMn/WEhYsm8apk2fZuW03ly9Fcic07/0qqmYFSoSXIGLnweTywODA5HMOULpyGQqWKkT7kZ3w8/elSFgx2gxuz/zhs/H196XT2G7Ex8Qxa2DmPWR4C6fVmty6AMBsMpzINXz9yNWnH844K9GTJwIQ1LotsUsXE//NGiylS5N76Aguv/UGGcUZa8UcnE6DPVUQyc+XfEP64LBauTx6SobtZAb3Sh/JOaCHUuolIArwBQqKyH4AEZkNoJS6Xlk48Kkymra+QESq45YF8gNrXdtDgTKubeL6Gwc8oJRaDMRgtFJ8b6AzHFjvsh+tlNqX6ng7XH9PAAXv/BSkYD+8D5/KdbBt34y5ZHkcp48mb0v4ak7ye79nXsMZFWk4kYLFCXizP/GzR+M4dfR6h71j5o6dDxihkNkbZhKaJ5S42Dgq167MsunL09T98PMPmDr4U2Sn8OBD1YjYHXG9Q942s8bMTba9cNOcZNtV61Rh8Wdp+0LGf/ERkwZ9zP6dQo2HqyO7Ipg2akby9v4T+7J+9cY7diIA4z6YChh9JOt/+4rceXJhjbVSp14NZnwyP03dv//cQYPGj/DVsm+oXa8GBw8c5r778xIcEszLTdoQGhrCwhXTkf2H7kjD0nGLks/F+PUfE5w7hHhrPOF1KrJmxqrkeof/iaB34+4A5C/6AO983Iv5w40QV5+Z/dnz2y6+/uyrOz4H2ZGkPbvxq1efhJ834hNeAdvRtN/53CNGkbRzO9Yli5PLnDHRya0YZ+QVTEFBuEPCzr0EPloX648/41c5nKRDaTU8MHEE8Vt3EDU/6wY23C45y41k3JH0An4XkWlKqQbAM8BppVSYiEQopfoBB29QJkBrEflXKfUQUCjVcY9i3Ngbi0iSUqotRgjqBVL6n54GiolIc6VUfuBFjDCZg//2+ewHHgG+crVIKrtsQCZeK9s/v2EJr05Q7/GAifiFE/B9/EUcF05j3/3ndffxe74tJl8//Jt2MsTExf6ngz6j2G12Phs+nQ8/H4XJZGbdsu+5dPYSxcOK80Lb55gyYCqT+39M1+FdsNtsXL4QycR+mRMDttvsTB32GeO/+BCz2cy3S9Zx8exFSoaV4KV2zzOh/xTGvz+ZHiO7YksybI/pm/mp0G02GyMGjWPh8s8wm8wsW/QV586cJ0yVps2bLRnYZxQjB43jo8lDeb1dM6KjYujWoR9RV6MpW64UX69fRFJiEh8MmYDDkbGuT7vNzoIRcxmwcAgms5mNy9YTee4yRcKK8lSbZ5h9g5ZGrSfrEF6nIj5+vlR7zOjXWTxmIRHb5br1cwIJWzbjV6Mmead8AiYTUWM+JPCVZthPnQSzBb+qVTH5+uJXqw4AMbNnEjt3NqG9+hL43AuYfHyImjDOLQ3WjVsIqPsgBeZOxmQycXHoWEJfe9kYuWUxE/BgFUy+vgQ+VBuAyKmzSNy13+3/e0bIaZ3tpoyMkHE5j48x+jiuYPQ1vAqMwzgHZ4A2GH0kE9KVVQLGYzgxJ0afR2Fco7aUUq2ALhh9GseAdhjhr7Mi8plSqiCwBqNl4gQCgZ6uuusxwmnVMPpINgAzMVohgcAUEZnv6iPpJCIHlFKdMFpTQ2/0/43u8rTXHxBeXJM9vlp6PZIU9HokKWSP9UhuFJjwLCW2r3e7h6NfyZa3fc/56Nhir/eoZMiR3GtoR5KCdiQpaEeSgnYkKWSGI+l9B45kXDZwJNliHolGo9FoUrhXOts1Go1Gk0XkLDeiHYlGo9FkO7JHIPv20Y5Eo9FoshnOHNYm0Y5Eo9Foshm6RaLRaDQat7DrFolGo9Fo3EGP2tJoNBqNW+jQlkaj0WjcQne234VYVAlvS6DM2kvelgBAksX7X/CiPqG3ruQBCpoCvC0hW8woB8i7dK63JRDToJO3JWQaWdkiUUoFAp8DDwDRQBsR+U+6CKVUEPAb8J6IrLvZMe+mha00Go3mrsB5B/8yQGdgt4g8AiwAbrSy2Sfc5txI3SLRaDSabIYta3MgPgyMcb3/DhiUvoJSqjdGa+S28nhpR6LRaDTZjMxyI67FA3umKz4HXHW9jwZyp9unIRAmIh1dS33cEu1INBqNJpuRWcN/XQsKzk5dppRaibFoIK6/V9Lt1h4o4VpuozzwoFLqrIjsvJEd7Ug0Go0mm5HFo7Z+BZoAWzEWCtyceqOIvHrtvVJqHsay6jd0IqAdiUaj0WQ7sngeyTRgvlJqC5CIsSghSqkxwHIR2XqnB9SORKPRaLIZ9ix0JSJiBZpep7zvdcra3s4xtSPRaDSabIae2X5PYsL38ZaY8xUFu43E9QtxXk2Z3+P7aDMshcvgTEoAIGHNp5j8A/F7oh2YTDjjY0lcNxtsSW4rqdKwBs90fwWH3cGvyzawZclPabYXKluUVqM7ggnOHzvLwn7TcNgdNBvSjrI1yxMfGwfAp2+NIT7amiENVRvW4LnuTbHb7WxZtpFflqxPs71w2aK0Gd0RTCbOHTvDvH7TKKKK03JwyuS6MtXD+LjDGPb8fNPQ7E15sGEtXnqnGXa7nZ+X/sSGJT9et1795x/lybZNGPLie8llofflYtiK0fR7qgdJCRm/LhUbPsgT3V/GYbfz57JN/LFkQ5rtBcoWodnotzCZTFw4dpal/abjsBu3keD7Qum+fDhjn+6LLaMaTCZC3+mJT5myOBMTiR4/FvvpU8mbA19uSkCDxwFI+PMPrAvnYwoOJtfAIZgCAyExkajRo3BEXs6Y/dtk194DTJg2h3lTx9y6ckYxmcg3sBt+qjTOxCQuDJmI7cTpNFXMeXNTeMFETr3cEWdiEqaQIAqMHYApMABnUhIX3vsI+6XIrNPoIqctga4dSSZgKVMVk8WXhGVjMBcshe8jr5D4zbTk7eYCxYlfNQXiY5PLfOo+iz1iG7ZdP+Nb73l8Kj6E7Z9Nbukw+1hoOqgto597j4S4BPouH8E/6/8m+uLV5Dov9G3JqrGLiNi6nzbj3qZKo5rs/H4rJSqVZnLrkcRGRrulweJjocWgtoxwaei/fCQ71/9FVCoNL/V9lRVjF3Fw637eGPc21RrVZPv3WxnTYggANZvUI/LsZbeciMXHwuuD32Dgs72Jj0tg2IrRbFu/laupdACUrFiKBs0bYUo1XL7Ko9Vo+V5rcufPm2H7YFyP5we1ZuJzA0iMi6f78uHsWb+NmFQanunbgm/HLuHI1gO0HNeZio1qsPv7v1CPVuH/+rUkV/7cN7Fwa/wfehj8/Ijs1gWf8AqEdOrC1cEDDH2FChHQsBGRXTuDw0GeyVNJ+HUzftWqYzt6hNgZnxHQ5P8Iat6CmM8+dUvHzZjzxZesWbeBwAD/LLMBEPR4fUz+fpxu1QP/KuW5v08HznUfmrw9sH4N7uvRHp98Kdc99PknSDx4lMsTZxH68tPkbteUy+NmZKlOyHlJG/XM9kzAXLgs9uN7AXCcPYq5QOqUKibMeR7Ar2Er/Jv2wVKhvlHvwgnwDzKq+AWAw+62jkJli3Dh+FmsUbHYk2wc+vsAYbXD09T5rNN4Irbux+LrQ+78eYiLsmIymXigZEFeH92RPstHUL9pAzc0FOV8Kg0Rfx+gXO0Kaep80mkcB1NpsEaltHz8Av15oWczFg+bk2ENAEXKFuXcsTPEunTIX/spX7timjoheUJp3rcVC4alGR2J0+Fk1KtDiL0S45aGAmWLcPH4WeKiYrEn2Tn6t1Cmdvk0deZ2msCRrQew+FoIzZ+bONe5cDqcTHttFNarsdc79G3jW7kKiX8Zfae2/fvwUSp5m+P8ea681xccRgvI5OMDiYnYjhzBFGh8N03BQThtNrc03IpihQsx6YMbTa7OPAIerIR1y98AJOw6gH+FcmkrOJ2ceasf9qspD1OJEccwBwcCYA4Ogiw+F9dw3MErO5CjWyRKqUXAFyLyrVIqHBgHnAXCMJzkQBHZpJR6BXgb8MWY6/MiUAn4CGPUwgwRWZhRHSa/AJwJcSkFTgeYzMZfXz+Sdm7EtmM9mMz4v/wujvPHccZE4vfQi/ioWmDxIf7PbzJqPpmAkCDiUoWj4mPiCQwNSlPH6XBwX5F89Ph8MPHRVk7uP4ZfkD8b53/Hj7O+wWwx02vxUI7vPsypA//esYbAkMB0GuKuq+H+Ivno/fkQ4qKtnNh/LHnbo80b8tfa34lxs2UUGBKENZWOuNg4gnKl6DCZzXQY05WFI+aSGJ+YZt/dW/5xy/Y1AkICiY9O+V7Ex8QR8J9z4SRvkXx0/nwA8dFWTu8/DsDBLbszRYMpKAhnbCpnZHeA2WI8uNjtOKOM1lFIx87YDkVgP3kSk58//jVr4jdnPqbQUK706JYpWm5E4wYPc+rMuSy1AYYjcMSkOhcOB1jMxjkB4n7f/p99HFeiCKxfg6KrZmLOHcrpNu9muU7QSRs9zUyMvDHfAm9gTOnPJSLtlVL3A78AFYFywDMiYlVKTQeeBE4BASJSx10RzsR4TH6pE/iZDCcCYEvEtnNDcv+H44RgzlcU3+oNSfhhPo5/92EuWQn/J9qS8PUnGbL/fK8WlKlVnqLlS3B0Z0RyeUBIQPITbmoun7rI4Abdeaj54zQd1Ib5fabx09y1JLluqAd+20PR8JJ35Ehe7NWCsFrhFC1fnKM7D6XSEIg16r9P1ZdOXeT9Bt14pHlDWgxqy+xeUwGo+8IjfNJ53G3bTU+z3q+ialageHgJDu08mFweGBxIbCodpSuXoVCpQrQf2Qlff1+KhBWj9eD2LBg++3qHvSOe7tWM0rXKU6h8cf5Ndy7ir3M9Ik9d5IMGPanTvAEvDHqdRb2m/adORnFarcmtCwDMprStX18/cvXphzPOSvTkiQAEtW5L7NLFxH+zBkvp0uQeOoLLb72RaZq8hSPWmty6AIxzYb/5M33ezq24MvdLor/8Fr9ypSgwcTCnXs765JB2Z3Zpa9weOT20tQmooJTKDzwBFAWauGZkrgB8lFL5gPMY46bnAlUwWiYAkhkiHGcOYylZCQBzwVI4L6V0ZpryFCCgWR8wmcBsxly4DI7z/+JMsEKi8bTqjL2aEubKAKvHL2FCi6H0rvkm+UsUJCh3CBZfH8JqV+DI9oNp6naZ2Y8HShYEICE2HqfDSYFShei7fCQmsxmzj4Wytcrz754jd6Thq/FLGNNiCD1rvskDJQoS7NJQrnY4h9Np6JZKQ3xsHE5XaCUwNAgfPx8iz2Q80/GycYsY0WIgnWq0pUCJQsk6ytepSMS2lMt9+J8I+jTuzogWA5nSbTynIk5kihMB+G78Mj5pMZzBNTuSr0QBgnIHY/G1ULp2eY6lOxftZ/YmX6rr4XBk7pNo0p7d+NUxnpV8witgO3o0zfbcI0ZhO3KI6Injk0Nczpjo5FaMM/IKpqCMfzezEwk79hL0SG0A/KuUJzHi2C33sUfF4Ig2zoX90hUjvOUBdGjLg4iIUym1EJgC/ACcAE6IyAeuVMkDgCRgGFDctduPpCQiy5TrYD+0E3PxcPybGg4j8cf5+FRviPPKBexHd2Hb/yf+zfuB3Y79wB84L58hcdNS/B5rz6BjzwAAIABJREFUboTATCYSNy1xW4fDZmf5yPm8s2AAJrOZ35Zt4Mq5yxQqW5TH2jzF4kGzWDftK9qMext7ko3EuEQW9JtG1IUr/PnVL7z31SjsNjt/rPyZMxEnM3YubHaWjJzHuwsGYjKb2LJsI1fOXaZw2aI83uYpPh80i7XTVtF+XFdsSTYS4xKY1894Ai9QqhAXT/4nm3WGdXw+Yi7vLxyCyWxm07L1RJ67TJGwojzZ5hnmDJyeKXZuhsNmZ/XIhXRc0B+T2cSfyzZx9VwkBcoW4eE2T7Ji0Bx+mvY1r47rjC3JRlJcAkv7ZW5HbsKWzfjVqEneKZ+AyUTUmA8JfKUZ9lMnwWzBr2pVTL6++NUynE3M7JnEzp1NaK++BD73AiYfH6ImZLyFmJ2I/elXAus9SOGFE8Fk4sKg8eRu/TJJ/57CuumP6+4TOXUe+Ye9S64Wz2LysXBx2CSPaM1poS1TThtmlh6lVAEMB1IFOIoR7ioB5AI+BWYBS4GSgA2IxAiB/Qp0EpEWt7JhndzJ6yep58Rssh5JNviCxzk90+F5K7LDeiTvlznjbQlA9liP5EQ2WY+k9O4fbitj7s1oVOzJ2/6hrT/xvdv23CVHt0hc+ACbReSA63Pr69RpdoN9N2WJIo1Go3GDnPaAn6P7SJRSLwHrgMHe1qLRaDSZhQPnbb+yAzm6RSIiK4GV3tah0Wg0mUlOG7WVox2JRqPR3I1kj3bG7aMdiUaj0WQzskvI6nbRjkSj0WiyGdqRaDQajcYtctqoLe1INBqNJpuRlQtbZQXakWg0Gk02Q7dINBqNRuMWuo/kbsTu/loh7vJPYubkoHIXqyPB2xIo5Xe/tyUAsCXp9K0rZTFxkX7elgBATDZIT1Js42felpBp6BaJRqPRaNxCt0g0Go1G4xY5LfuvdiQajUaTzdApUjQajUbjFg7dR6LRaDQad9ChLY1Go9G4hW6RaDQajcYtdItEo9FoNG6hWyQajUajcQuH0/uToO8E7UgyBRO+DV/DnL8o2G0k/jgf55WUmei+jzXHUiQMZ2I8AAmrPwGHHb9GrTDlygcWC0kbF+M4e8xtJQ83rscbPdtgt9n5ZslaVi/6Ns32cpXKMm7+aE4ePQXAygWrWf/1Rp5p9hQvtX4Os8XCL99vYe6khRnW8L/GD9OxVzvsNjurFn/Dii++TrP9vnx5GTLuPXLlDsVssTCg23BOHjf05L0/D/O/ns4rj79OYkJihjUA1GpUm+bvtMBuc7B+2Y/8uPj769Z79Pn/8UzbZ+n3Ym8A3hzagfBaFYiLiQPggzdHYI22ZkjDI43r82bPNthsdtYsWcuqRd+k2V6uUhgT53/IiaMnAVixYDU/fr2BHkPeplrtKjgcDiYN/4Rdf+3JkH1MJu57vzt+5crgTEzi0ojx2E6kzMgPfe1lgp94DIC4X7dydUbKdQ9s8BDBjf7HxQEfZMx2Oh35BnbDT5XGmZjEhSET0+gAMOfNTeEFEzn1ckeciUmYQoIoMHYApsAAnElJXHjvI+yXIt3XchN27T3AhGlzmDd1TJbauRV6QqKXUEo9BRQXkRk32N4WuCwiX19vuztYylbD5ONLwpIPMRcqje+jzUj8+pPk7eYCJYhfMQniY5LLfOs9i+PiKWzr5mDKVwRz/mLgpiOx+Fh4Z2hX3mjSkThrPDNWT2XzD79x+WLKj698FcWSGV+yaPqy5LIiJQrzUuvn6PJKDxITknirdzssPhbstjt/KvLxsdBn+Du0fOoN4qxxLFgznY3fb06joeegt/l25Q/88PVP1HroQUqFleDk8VPUf6wO7wzoQr4H3E+BYvGx0H7wm/R6ticJ1gQ+XDmGrT/+ydWLV9LUK1WxNI1aPIHJlFJWpnIZhrYaTHRklNsaeg7tSpsmHYizxjN79Sf88sOvac5FeJVyLJqxjC+mL00uC6tQhio1K9H2mY4UK1WUUdOG0PqptzKkIbDBQ5j8/Djbtjt+lcPJ27MTF94dDIBPkUIEP/04Z1t3A4eDAnMmYd24haSIo+Tt3YXAejVJPHjYrXNwjaDH62Py9+N0qx74VynP/X06cK770BSd9WtwX4/2+OTLm1wW+vwTJB48yuWJswh9+Wlyt2vK5XHX/XlnCnO++JI16zYQGOCfZTZul5yWIsXsbQGZhYisu5ETcW2flxVOBMBcJAz7MeOJ0XHmCOaCJVJtNWHOUwC/xq/j37wflooPGfuUqAh2G/4v9cC37v9hP7bXbR2lwkpw8tgpoq/GYEuy8c/W3VSrWyVNnfKVy1G/YV2mrZxM//F9CAoOpNYjNdi/Sxg06X2mrZzMrr/2ZMiJGBpKcuLoSaKvRmNLsrHjz13UqFc9TZ1qtapQoFB+ZiybwjMvPcnfv20HwOFw0KFZN65ece8GDlC0bDHOHDtD7NVYbEk29v+1j4p1KqapE5onlNf7tmb20JSvjclkonDJwrz9YVc+XDmGhs0aZ1hD+uuxc+tuqtetmqZO+cqKhxrWY/rKjxk4vh9BwYGcP3uR+LgE/Pz9CA4JwpZky7CGgGqViPvtLwASd+/Hr0K55G22c+c53/V9cBiT30w+PjhdrcCEXfu4NHpyhu3+R8eDlbBu+dt17AP4p9IBgNPJmbf6Yb8anVyUGHEMc3AgAObgILBl/DzcDsUKF2LSBwOz1Mbt4sB526/sQI5pkSilfIG5QGnAAkwAOgPngfuAxUCYiLynlBoEvAhcAIKAQcBjwFngANAPSHQda4mIjHJHm8kvAGdCXEqBwwEmMzgd4OtH0s4N2Lb9CCYT/k174zh3DFNgCKaAYBJWTsISXg+//zUlcd0cd2QQHBpMbHRKq8caayUkV0iaOnt37mf1om+R3Qdp270V7Xu1JfpKNNXqVKXDc2/jH+DP9FUf88YznYmJiklv4paEhAYTnUpDbKyV0NDgNHUKFytE1NVoOjTrTsd336Bd19f5dMxM/vjlrzu2dyOCQoOwRscmf46LiSM4lQ6z2UzXsd2ZM2IWifEpIbSAoAC+mfcNq2euwmIxM3LpBxzaFcHxA8fuWENwaDAxqTQY1yPtudi3cz+rF33Dgd0Hadf9dd7q1Y7ZkxbgdDr48peFhISGMKpPxsMspuAgHDEpGrA7wGI2/trsOFxOO0+PDiTKIWz/GiFG6w+b8K9R9XqHzBDm9DocqXQAcb9v/88+jitRBNavQdFVMzHnDuV0m3czTc/1aNzgYU6dOZelNm6XnNYiyTGOBOgIXBCRVkqpUGA7kABMFpGvXKErlFJVgaeBWoAfsPs6xyoBVAH8gdOAW47EmRiPyS8gpeCaEwGwJWLbvh5sxs3KceIA5vzFcMbHYju8EwD7kX/wrf1Uhu137NueqrUrUya8NPt27E8uDwoOIvpqWmfw83dbkh3Epu8202tkdzZ88zM7ft+JNTYOa2wcxw4dp3jpouzbeeC2NXTt14HqdapSLrwsu3ektK6Cg4OITueQrkZeZdP3mw09P2yh2/sd7/j/fCNe692K8FoVKRlekoM7JLk8MCSQ2KiUG1mZymUpXKownUa9jZ+/L8XCitN+yFvMHTGbb+Z8TWK8keV412+7KFWh1B05kk5936Ra7cqUDS/D3h37ksuvdz02frc51fX4hT4je/BM0ye5dP4y3Vr2JigkiFmrprJn+z7On7nzDNDOWKvxNH8Nsyn55g2Any/5hvTBYbVyefSUOz7+7eKItSa3Lq6r4zrk7dyKK3O/JPrLb/ErV4oCEwdz6mXvZxn2BDktRUpOCm2FA78AiEg0sA8oA8h16m0VEbuIxAF/X+dYu0XEJiKxQNx1tt8RjtOHsJSqDIC5UGmcF08mbzPlLUBAi/fAZAKzBXORsjjO/4vjVETyPpaiYTguZTwl+fQxs+nySg+aVH2RoiWLkCtPKD6+PlSvW4U929KGzCYvGkOFauUBqPXIg8jug+z6azfV61XDz9+PgMAASoWV5OSxU3ekYepHM2j/0ts0qNyEYiWLkitPLnx8fahRtxr//J22o3jH1n94pGF9AGrUrcZhOZrh/3t6vhj3OQObv0+bB1tRqGRhQnKH4OPrQ4U6lTiwLcUxRvxzkG6N3mZg8/cZ13UMJyL+ZfawmRQuXZgPV47BbDZj8bFQoWYFDu+5s36Cz8bMotMr7/Bk1ecpWrJoqutRld3prsfHi8ZRoVo4gBFi3C1EXYnGGhuHw+HAGmMlMTGJwKCA65m6JQk79xL4UG0A/CqHk3Qo7bl+YOIIEg8e5vKoSckhrqwgYcdegh4xdPhXKU9ixLFb7mOPisHhatHZL11J6xDvcpxO522/sgM5qUWyH3gE+MrVIqkMHIX/rEm5F+imlDIDvkB1/kumnn17xA7MxSvg36IfYCLx+3n4PNgY55Xz2I/8g23/7/i37A8OG/Z9f+C8dJqkrWvxa9wG/xbvgcPudlgLwG6zM3nYJ0xaNBaz2cSaJd9x4exFSoaVoGm7FxnbfxJj3p9Ir5HdsSXZuXThMqP7jMMaY2XN4rXMWP0xJpOJOZMWEHUl+tYGr4PNZmfckCl8tmQiZpOZr5Z8w/mzFyhdriQt33iFUe+NY9zQjxk6/n2atXmJmOgY+nUe4vb/PT12m505I2Yx9PPhmMxmflr6I5fPXaJYWDGatPk/pg+cdt39Th46yaaVGxmzehz2JDsbV27gxMF/M6xh0rCpfLxoHCazmTVL1nLh7EVKhZWgWbuX+Kj/RD58fwJ9Rr6DLcnGpQuX+aDPWOKs8VStVZnZX3+K2Wxm3cofOX74RIY0WDduIaDugxSYOxmTycTFoWMJfe1lY8SUxUzAg1Uw+fomO5vIqbNI3LX/Fke9c2J/+pXAeg9SeOFEMJm4MGg8uVu/TNK/p7Bu+uO6+0ROnUf+Ye+Sq8WzmHwsXBw2KdN1ZVeyS9/H7WLKLh7tViil/ICZGK2QQGAK0A7oJCIHXKGt8q4+kgHA88BFoDhGWKwxKX0knUSkheu4Z0Wk4M1sWye85fWT9Pi4CG9LAPTCVqk5bXN/UIC7LC+YPRa2sid5P7iRXRa28s1X2nTrWjcnX65yt33PuRh10G177pJjWiQikgi0SVc8P9X2eQBKqQeASBGprZTyx2ihnBCRoan225Rqv5s6EY1Go/E0ema797kI1FJK/YURwpolIhmLTWg0Go0XyCmRomvcdY5ERBwYIS+NRqPJkWTlqC2lVCDwOfAAEA20EZEL6epMAB7G6IPuJSK/3uyY3g9sajQajSYNDqfztl8ZoDPGyNVHgAVAmlmYrikU9YE6wOsY/dE3RTsSjUajyWY47+BfBngYWOd6/x3QKN32U4AVY55dLiDpVge860JbGo1Gk9PJrM52pVR7oGe64nPAVdf7aCB3uu02jJDWAde2WyZ6045Eo9FoshmZ1dkuIrOB2anLlFIrgVDXx1DgSrrdWmNMlXjStX2LUuoPETnJDdChLY1Go8lmOJyO235lgF+BJq73TwOb022PBGJExI7RYkkAgrkJukWi0Wg02YwsHv47DZivlNqCkbz2VQCl1BhgObAIeEgp9RtGgtwvRCR9Kqo0aEei0Wg02YysdCMiYgWaXqe8b6qPd5QdM8ekSNFoNBpN9kT3kWg0Go3GLbQj0Wg0Go1baEei0Wg0GrfQjkSj0Wg0bqEdiUaj0WjcQjsSjUaj0biFdiQajUajcQvtSO4RlFJmpZRFKfWIa9liT9v3Sfc5j6c1uOw28IZdzfVRSr3mbQ0a99Ez27MQpVQERoqBayQBJ4C+IrLdgzomAfuBEsCDGNk/0y9bnFW2C2Kkol6glHodMGE8wCwAantCQzqGARu9YDcZpdRUEema6vMCEWntYQ3FgJZAwLUyERnuSQ0uOgBfeMFuMkqp/kBfjNTpJsApIoW9qSmnoR1J1rIB+BIjKVo94E1gLsZCMQ97UEctEemhlNooIg2UUj950HZd4B1AATNcZQ7gew9qSI1TKfUVIC4diEh/TxhWSr2NsYjQfUqplzBuWiZgryfsp+NLYD3Gg4038VdK7SDt9XjVwxqaA4VdqUM0GUA7kqylnIisd73fpJQaJCI/KaWGeFiHRSlVAzjmCmuF3mqHzEJEVgGrlFJNRGStp+zehDneMiwinwCfKKX6i8gH3tLhIlpEBt66WpbTz9sCgKNAnLdF5GS0I8laEpVSnYDfMJauTHDd0D193ucDnwJvAGOA6R62D3BaKfUpaUMpb3hBxxdAW6A4Rotxjxc0LFZK9QaCrhV4Iay0RynVAtiBK0egiBz0sAaA3RjrXvhitM4KAz97WIMfsFsptdv12emFVlGORjuSrOVVYADwHMYN63WMfgFP30CDRaSO630PD9u+xjxgKt4PpXwGnAYaA39h9NU0uekemc8ijKVOz3rYbmqquV7XcAKPe0HHVxj9d5WBeIx+Ck/zkRds3lVoR5KFiMglpdRm4DywR0QuYayR7GmaKKUmuhaq8RZnRWSWF+1fo4yIvKmUekRE1iil3vOCBquIDPOC3WRcfWX3A2WAIyJy0UtSTCLSSSk1B6MPMf0iS1mGUur/ROQboDz/zdzu6VZRjkY7kixEKTULCAF+B1orpRqKSPr1kz1BfozQ0lGMH4xTROp7WMMx1007dSjlBw9rAPBRSuXD6HQPxdXB6wmUUuVcb88ppVoC2/FSWEkp1RQYidEaqKSUGioin3tSgwubUioAYwU+J569J93v+lswXbleW+MO0Y4ka6mcKqQ0WSn1h5d0/J+X7KbGH2PklnJ9dgLecCQDMJYaLQT8gTGizFOk7pvqkOq9N8JK7wI1RCTG5VA3AN5wJJ8APTG+CyeALZ4yLCLzXW83kdZ5JCmlit5sjXJNWrQjyVoOKaVKichRpdQDwL9e0mHDiAM/gDHscxdw3JMCRKSd64m8rMv+aU/aT0WiiCilVH7gooh47OlTRLLTZEiHiMQAiEi0UireGyJEZAWAUuo+4EsRifKCjBEYrZJtQHWM5WcDlFIzRWSsF/TkOLQjyVrqAvuVUv8CRTBGbZ3B8xOeZgDjgUHALxijuOp60D5Kqa7Ai8B9GB3vYUDXm+2TRbyhlJqKEW5cqZT6WUQ8Ft4CUEqdwnDqF4B8GJ3M54AuIvKjh2QcUUqNx/g+PAoc9pDdNCilHsUYUWgBvlRKHReR2R6WYQWqiEi8UsofWAG8hHFutCO5DXSKlKylJ0bn+mGML+WfIlLIC7NmA0VkA4YDE4wbl6dpgTFS6oqITAbq3KJ+liAiHUSkJrAM+ADvjJz6Bajk+h6EA6uApzGejD1FO+AIxjU5DLzlQdupGYnhyM5iXI8uXtCQX0TiAUQkAcgnIono++Nto1skWctYjFj4FS/riFdKPYkxMbEu3nEkZlwd/a7PCV7QgFKqB9AQYwDCr4CnJ4cCFHU5dETksFKquIgcUkrZstqwUqqmiPyN0ScT4XoBNMA7fVZOEbmslHK6WgTRXtCwSim1BdgK1AK+Vkp1xjtzjHIk2pFkLXtFJDsMI+wAjMMIo/QGOntBwyKMJ/ESSqm1GE/h3uBJIC9G+OJ7EdnlBQ1nlFIfkjJR9axSqjFGbD6raQj8jZFnKzXeGvwQoZQaDeRzjerzaN8dgIiMUEqtxmgdzhGRPa4+tM88rSWnYnI69Ui3rEIp1QbohDHEEvDabO5sgVIqHKgEHBCR3beqn4U6AjCewPsC5UWkkBfsd8C4ce3GSNtSHWM+xzkPaXgz9bwepVR3EZniCdvpdHyD0TIsivE7meEKK3nC9psiMsvlyNLcCD2Vf+1uQbdIspbuGClJvBLautaxjzH0NghjeGUR4IKIlPSwltoY/SQBQAOlFCLi8Xi4K1liE4wsyH/jwVnNqcJKjwIHXC+ARz01p8Y1f+U5jGtwbcixGWNmuccdCUYL+Q3gISAGI0N1xE33yDyuZVmIALw5WTfHox1J1nJWRJZ6y/i1J22l1OfA+yJyQilVGJjoBTnzMW7akV6wnZqHgXki8qYXbKcPKzlxpS3Hc2GldcAZjMl41+a1OPDSqC0ROQD0VUqNwXBke5RSvwCDReT3LLZ9LQN1CxF5Iitt3e3o0FYWopRajjGzPfVsbo83mZVSv6Weya6U+l1E6nlYw9ci8pwnbd5ARzFgAlABOAj0FJFjXtCRZk6Np4cguzQUIlWyxKy+cd9Aw9MYSTTDgYUYDxy+wFoRqeohDUsx+vBSp7L3RgLLHItukWQta7wtwMU+pdRCjFEp9TEmXnmaFUqpJcC+awVeWkhpBjANo+P/MWA2RkvBY2SHOTVKqdkYa+QEY4Q9D+PhuUUuWgHTRGRT6kKl1FAPangAY+h1GYyU8ufxTgLLHIt2JFlIqhQM3qYDxo2rHLBERFZ7QcPbGCOlvD0UOkBEvna9X6WU8kbusxYY/SQ/ichkpdRfXtBQFaiIEd7qDyz3ggZE5LpL7YrIVx6UMQ1jPsuPGH1Fcz1o+65AT7i5NwjGmDl8CsitlPLosq4uLonIRyIy/drLCxrASNpYGeDaXy+QHebUXHKlhwn2Yubf7EJP4EEReQEjtX53L+vJcegWyb3BaozcVtdGqXijY+yiUmo6aTPezrj5LllCd2COq3/gNGmTJ3qKJRhpykt6cU7NNtfiWqddIcdAL2jILmSLvGM5Ge1I7g3MItLKyxoOuf6mT9ntUURkh1KqCUY8/KCIXPaCjDYY52MqsN9Lc2rmYzjSOIz0LFu9oCG7kC3yjuVk9KitewCl1BSMJWZ3ktIa8Mikr3Q6GgGlMdK3H7yW38jDGrpgrBK5B6OPYIQ31uFwTc58FngeOCciL3nY/hYRediTNrMrSikfoCPGyLFrkyKTvKsqZ6FbJPcG/8O4aV3DiXFD9xhKqQ8wZi+HY/QJvM9/03R4grdIyfQahBFi8qgjUUpVAxqRMlrswE2qZxWxSqmJpB3y6o1Qo9cRERvGuiiaDKIdyT2Ap8bj34KHReRRpdRGEZnvSornDc5hrM8CRljnkhc0/IyReXeAiKz1gn0w8nwBFPCSfc1dhHYkdzFKqaki0lUp9Tv/zSXk6aV2fVw5ppxKKQveS0lhBnYqpX7DyG/lq5RaBCAir3pIw/0YM+yfVEr1As6LiEdbZyIyLH2o0ZP2NXcX2pHc3Vxb36KFV1UYTMSYCJkf+BPvpGkBGJXq/Rde0pAHI+dZCYyh2R7PeJuNQo2auwDtSO5u3lFK3WibR1O1iMiXrjXrC2J0Lntr2eHtQD+gMPANsEtEDt18l0xnHcaQ31EistfDtq+RXUKNmrsA7UjubsT191pyQK+hlBoC+ItIf6XUl0qpv0XEY5l3UzEHY9XK/2Gsyjfb9d5juFZo9DbZJdSouQvQM9vvYkRkvitNSzPgKvB5qjJP89y1hJUi0hQjlbk3uF9E5gBJIvIb9+5v4FqosRJGqPFT78rR5GTu1R/RvUZvjGSNfyulPlJKhXlBg0Mp5QeglPLFi989pVR519+ipIzguqcQkS8xOvyfAZ4SEW/1F2nuAvSExHsIpVQ+jDUfXsaYxZvlaz6kst0eo29iN1AeGOONlpFSqhIwE6OT+QDQRUS2e1qHt1BKLeYGKXI8OGpNc5ehHck9gGvNhzYYa3B4Zc0Hl478GMNND2eHRIFKqWIicuLWNe8elFI37A8SkZ89qUVz96BDW/cGfYDfRaQKRnbTIiJyChjqKQFKqboYqbo7AmOVUt/fYpes0tFHKfWWUqoP8L1SaoI3dHgLEfnZ5TC2A40xHjDux8gMrdFkCO1I7g1yYQx1BRgETAavrPmwCciNMW/CWy2SlzFaZE+LSAUMx3ovMgdjdn0YKaPXNJoMoR3JvUGCiBwGEJEjuHIreZiLIrIYiBKRoRiT4byBHddcFtfnIC/p8DZ69Jom09DzSO4N/nXNZP4dqI13whgOpVRFIEgZsyTv84IGgI0YLaNWrqSF33pJh9fRo9c0mYV2JPcG7YBOQBOMNNkjvaDhXYy07VOARRihFW+wX0RKA7gmRXo8nX42oTvGkrLhGMvsdvGuHE1ORo/a0mQp1+aOXA8vrYnys4h4dCZ7dkQp5Q9UcC309QLwrV6DQ5NRdItEk9UIaVO0XHvv8TVRXPgrpXak0uW8R+dPfIER1tsBlMPIfnAvngdNJqAdiSZLEZFS1967cjrlx0ib7o0OfzAmRWqMIeBzAURkjFJqo7cFaXIueqSGxiMopV7EWKd8LXBQKdXYS1J2AP8H9AVewJhpfy/iVEqVA1BKlQEsXtajycFoR6LxFIP/v737B40iCuI4/m0M+K8QRUKwEWNGUwZB0EIIgtiKYCGkEEURxKiVaCfYi5UiElIZTCHYWYgiNgE1NuLPRhG5RFGIsYkoxOJt8NLe7b2X5H4fWDi2ualubt7szgD7JQ0BB1m+FySn+8Bn4BrwCRgrFEdpl4CJiGgAE6SHIcxa4kRiufyQ9A1A0ldgvlAcWyXdljQt6RawpVAcpU0DpyT1kZ7ie1s4HlvF3COxXH5VY1GeA/tI75PcBFgaL5/J+ojolTQbEb1075GOm+1WGycSy+VR0+eSc52uAy8jYp40OuZMwVhKcrPdauNEYrlMko6R/pJ+vMclZd9VDuwk7SjfTZr3dY8yjyGXthgRA5I+REQ/3VuZWQ2cSCyXSdLgxuPAO+AucKRAHOeAo6RBhd1sFHhQHe81AO9st5Y5kVguG4DHwKikkYg4XCiO74UqoZVmCNhEqs62kcbWlNicaWuAE4nl0gNcBF5FxCCwMeeXLzX2gZ6q6f+aalNg5mb/SnEeOETqGT0kVShmLfHjv5bLFaCP9P7IMCmp5KTqGiP9+37fdK8bNSTNAJslPSPtiTFriSsS66iI2CHpC/8b29uBJ7njKLEffoX7WQ1rXIyIs6TjLbOWOJFYp12urjtUR0lNhvOHY5XTQD9wlVQtXigbjq1mHiNvHRURH1k+/fcPsA5YkLS3WGBmVhv3SKzT9gBMr3V8AAAAcklEQVSDwFPghKQB4BjwomhUZlYbJxLrKEm/JS0AuyRNVffekBKMma0B7pFYLnMRcQOYAg4AM4XjMbOauCKxXE4Cc6RdILPASNlwzKwubrabmVlbXJGYmVlbnEjMzKwtTiRmZtYWJxIzM2uLE4mZmbXlH28aIoOGnSmEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(dat.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) Use the lm() function to perform a multiple linear regression with mpg as the response and all other variables except name as the predictors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.822\n",
      "Model:                            OLS   Adj. R-squared:                  0.818\n",
      "Method:                 Least Squares   F-statistic:                     256.0\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):          2.41e-141\n",
      "Time:                        10:53:54   Log-Likelihood:                -1037.4\n",
      "No. Observations:                 397   AIC:                             2091.\n",
      "Df Residuals:                     389   BIC:                             2123.\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "const          -18.7116      4.609     -4.060      0.000     -27.773      -9.650\n",
      "cylinders       -0.4452      0.323     -1.380      0.168      -1.079       0.189\n",
      "displacement     0.0189      0.007      2.524      0.012       0.004       0.034\n",
      "horsepower      -0.0094      0.013     -0.709      0.479      -0.035       0.017\n",
      "weight          -0.0067      0.001    -10.508      0.000      -0.008      -0.005\n",
      "acceleration     0.1179      0.097      1.217      0.224      -0.073       0.308\n",
      "year             0.7625      0.051     15.071      0.000       0.663       0.862\n",
      "origin           1.3968      0.275      5.073      0.000       0.855       1.938\n",
      "==============================================================================\n",
      "Omnibus:                       29.782   Durbin-Watson:                   1.291\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               47.819\n",
      "Skew:                           0.506   Prob(JB):                     4.13e-11\n",
      "Kurtosis:                       4.366   Cond. No.                     8.53e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 8.53e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "X = sm.add_constant(dat).drop(['name', 'mpg'], axis=1)\n",
    "est = sm.OLS(dat['mpg'], X).fit()\n",
    "print(est.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "##### ci. Is there a relationship between the predictors and the response?\n",
    "\n",
    "- Yes - a statistically siginificant relationship exists.\n",
    "- The F-statistic is very large: 256.0\n",
    "- We can reject the null hypothesis.\n",
    "\n",
    "##### cii. Which predictors appear to have a statistically significant relationship to the response?\n",
    "\n",
    "- displacement, year, origin and weight (p-values < 0.05)\n",
    "\n",
    "##### ciii. What does the coefficient for the year variable suggest?\n",
    "\n",
    "-  The coefficient is large relative to the others - it is an important predictor.\n",
    "- There is a positive relationship between year and mpg - one additional year corresponds to a 0.7625 increase in mpg."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (d) Produce diagnostic plots of the linear regression fit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/site-packages/sklearn/linear_model/base.py:509: RuntimeWarning: internal gelsd driver lwork query error, required iwork dimension not returned. This is likely the result of LAPACK bug 0038, fixed in LAPACK 3.2.2 (released July 21, 2010). Falling back to 'gelss' driver.\n",
      "  linalg.lstsq(X, y)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x121087ac8>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Residual plot with sklearn and seaborn\n",
    "\n",
    "X = dat.drop(['mpg', 'name'], axis=1)\n",
    "y = dat['mpg']\n",
    "regr = LinearRegression()\n",
    "regr.fit(X, y)\n",
    "y_hat = regr.predict(X)\n",
    "resid = y - y_hat\n",
    "sns.residplot(y_hat, resid,lowess=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1210e64a8>"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Studentised residuals plot with statsmodels and seaborn\n",
    "\n",
    "X = sm.add_constant(dat).drop(['name', 'mpg'], axis=1)\n",
    "est = sm.OLS(dat['mpg'], X).fit()\n",
    "sns.residplot(est.fittedvalues, est.get_influence().resid_studentized_internal,lowess=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Residual plot with yellowbick\n",
    "# .. they're plotting y_hat - y?\n",
    "\n",
    "regr = LinearRegression()\n",
    "vis = ResidualsPlot(regr)\n",
    "vis.fit(X, y)\n",
    "vis.poof()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Influence plot with statsmodels\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "fig = sm.graphics.influence_plot(est,ax=ax, criterion=\"cooks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Partial regression plot matrix with statsmodels\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "fig = sm.graphics.plot_partregress_grid(est, fig=fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Partial regression plot / addded variable plot with statsmodels\n",
    "# https://www.statsmodels.org/dev/generated/statsmodels.graphics.regressionplots.plot_partregress.html\n",
    "\n",
    "y_name = 'mpg'\n",
    "indi_name = 'weight'\n",
    "rest = [x for x in dat.columns.drop([y_name, indi_name, 'name']).values]\n",
    "fig, ax = plt.subplots(figsize=(12,8))\n",
    "fig = sm.graphics.plot_partregress('mpg', 'weight', rest, data=dat, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# QQ plot with statsmodels\n",
    "\n",
    "qq = sm.qqplot(resid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### di Comment on any problems you see with the fit.\n",
    "\n",
    "-  There is a strong pattern in the residuals - which indicates non-linearity in the data.\n",
    "\n",
    "##### dii Do the residual plots suggest any unusually large outliers?\n",
    "\n",
    "- Yes, there are 4 observations with studentised residuals > 3\n",
    "\n",
    "##### diii Does the leverage plot identify any observations with unusually high leverage?\n",
    "\n",
    "- Yes: observation 13."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (e) Fit linear regression models with interaction effects. Do any interactions appear to be statistically significant?\n",
    "\n",
    "- Yes, both of the interactions yield coeffiecients with statistically significant t-statistcs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NO INTERACTIONS\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.822\n",
      "Model:                            OLS   Adj. R-squared:                  0.818\n",
      "Method:                 Least Squares   F-statistic:                     256.0\n",
      "Date:                Tue, 04 Sep 2018   Prob (F-statistic):          2.41e-141\n",
      "Time:                        16:51:50   Log-Likelihood:                -1037.4\n",
      "No. Observations:                 397   AIC:                             2091.\n",
      "Df Residuals:                     389   BIC:                             2123.\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept      -18.7116      4.609     -4.060      0.000     -27.773      -9.650\n",
      "cylinders       -0.4452      0.323     -1.380      0.168      -1.079       0.189\n",
      "displacement     0.0189      0.007      2.524      0.012       0.004       0.034\n",
      "horsepower      -0.0094      0.013     -0.709      0.479      -0.035       0.017\n",
      "weight          -0.0067      0.001    -10.508      0.000      -0.008      -0.005\n",
      "acceleration     0.1179      0.097      1.217      0.224      -0.073       0.308\n",
      "year             0.7625      0.051     15.071      0.000       0.663       0.862\n",
      "origin           1.3968      0.275      5.073      0.000       0.855       1.938\n",
      "==============================================================================\n",
      "Omnibus:                       29.782   Durbin-Watson:                   1.291\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               47.819\n",
      "Skew:                           0.506   Prob(JB):                     4.13e-11\n",
      "Kurtosis:                       4.366   Cond. No.                     8.53e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 8.53e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n",
      "CYLINDERS X DISPLACEMENT\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.846\n",
      "Model:                            OLS   Adj. R-squared:                  0.843\n",
      "Method:                 Least Squares   F-statistic:                     267.0\n",
      "Date:                Tue, 04 Sep 2018   Prob (F-statistic):          1.26e-152\n",
      "Time:                        16:51:50   Log-Likelihood:                -1007.9\n",
      "No. Observations:                 397   AIC:                             2034.\n",
      "Df Residuals:                     388   BIC:                             2070.\n",
      "Df Model:                           8                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==========================================================================================\n",
      "                             coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------------------\n",
      "Intercept                 -4.2248      4.661     -0.906      0.365     -13.388       4.939\n",
      "cylinders                 -2.6365      0.409     -6.452      0.000      -3.440      -1.833\n",
      "displacement              -0.0783      0.014     -5.533      0.000      -0.106      -0.051\n",
      "cylinders:displacement     0.0136      0.002      7.890      0.000       0.010       0.017\n",
      "horsepower                -0.0399      0.013     -3.092      0.002      -0.065      -0.015\n",
      "weight                    -0.0055      0.001     -8.939      0.000      -0.007      -0.004\n",
      "acceleration               0.0982      0.090      1.091      0.276      -0.079       0.275\n",
      "year                       0.7709      0.047     16.390      0.000       0.678       0.863\n",
      "origin                     0.6749      0.272      2.483      0.013       0.141       1.209\n",
      "==============================================================================\n",
      "Omnibus:                       33.121   Durbin-Watson:                   1.430\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               80.138\n",
      "Skew:                           0.411   Prob(JB):                     3.97e-18\n",
      "Kurtosis:                       5.042   Cond. No.                     1.03e+05\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.03e+05. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n",
      "DISPLACEMENT X HORSEPOWER\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.859\n",
      "Model:                            OLS   Adj. R-squared:                  0.856\n",
      "Method:                 Least Squares   F-statistic:                     295.5\n",
      "Date:                Tue, 04 Sep 2018   Prob (F-statistic):          7.17e-160\n",
      "Time:                        16:51:50   Log-Likelihood:                -990.77\n",
      "No. Observations:                 397   AIC:                             2000.\n",
      "Df Residuals:                     388   BIC:                             2035.\n",
      "Df Model:                           8                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===========================================================================================\n",
      "                              coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------------------\n",
      "Intercept                  -5.1268      4.316     -1.188      0.236     -13.613       3.359\n",
      "cylinders                   0.6520      0.307      2.125      0.034       0.049       1.255\n",
      "displacement               -0.0708      0.011     -6.391      0.000      -0.093      -0.049\n",
      "horsepower                 -0.1721      0.020     -8.641      0.000      -0.211      -0.133\n",
      "displacement:horsepower     0.0005   4.83e-05     10.140      0.000       0.000       0.001\n",
      "weight                     -0.0038      0.001     -5.946      0.000      -0.005      -0.003\n",
      "acceleration               -0.1269      0.090     -1.418      0.157      -0.303       0.049\n",
      "year                        0.7550      0.045     16.761      0.000       0.666       0.844\n",
      "origin                      0.6489      0.256      2.535      0.012       0.146       1.152\n",
      "==============================================================================\n",
      "Omnibus:                       45.972   Durbin-Watson:                   1.506\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               89.743\n",
      "Skew:                           0.658   Prob(JB):                     3.25e-20\n",
      "Kurtosis:                       4.922   Cond. No.                     9.33e+05\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 9.33e+05. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n"
     ]
    }
   ],
   "source": [
    "# There are 8 choose 2 = 28 combos.\n",
    "# Trying out a couple..making mental note about how to search space that could be \n",
    "# larger than this.\n",
    "\n",
    "print('NO INTERACTIONS')\n",
    "form = 'mpg ~ cylinders + displacement + horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n",
    "\n",
    "print('CYLINDERS X DISPLACEMENT')\n",
    "form = 'mpg ~ cylinders * displacement + horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n",
    "\n",
    "print('DISPLACEMENT X HORSEPOWER')\n",
    "form = 'mpg ~ cylinders + displacement * horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (f) Try a few different transformations of the variables, such as log(X), √X, X2. Comment on your findings.\n",
    "\n",
    "- R-squared was improved by log and reciprocal transforms of mpg\n",
    "-  R-squared was improved by log transforms of independent variables, the p-valued for the\n",
    "- t-statistics of the transformed variables are smaller - indicating greater statistical significance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NO TRANSFORMATIONS\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    mpg   R-squared:                       0.822\n",
      "Model:                            OLS   Adj. R-squared:                  0.818\n",
      "Method:                 Least Squares   F-statistic:                     256.0\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):          2.41e-141\n",
      "Time:                        11:05:05   Log-Likelihood:                -1037.4\n",
      "No. Observations:                 397   AIC:                             2091.\n",
      "Df Residuals:                     389   BIC:                             2123.\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept      -18.7116      4.609     -4.060      0.000     -27.773      -9.650\n",
      "cylinders       -0.4452      0.323     -1.380      0.168      -1.079       0.189\n",
      "displacement     0.0189      0.007      2.524      0.012       0.004       0.034\n",
      "horsepower      -0.0094      0.013     -0.709      0.479      -0.035       0.017\n",
      "weight          -0.0067      0.001    -10.508      0.000      -0.008      -0.005\n",
      "acceleration     0.1179      0.097      1.217      0.224      -0.073       0.308\n",
      "year             0.7625      0.051     15.071      0.000       0.663       0.862\n",
      "origin           1.3968      0.275      5.073      0.000       0.855       1.938\n",
      "==============================================================================\n",
      "Omnibus:                       29.782   Durbin-Watson:                   1.291\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               47.819\n",
      "Skew:                           0.506   Prob(JB):                     4.13e-11\n",
      "Kurtosis:                       4.366   Cond. No.                     8.53e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 8.53e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n",
      "LOG MPG\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:            np.log(mpg)   R-squared:                       0.880\n",
      "Model:                            OLS   Adj. R-squared:                  0.877\n",
      "Method:                 Least Squares   F-statistic:                     405.9\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):          1.83e-174\n",
      "Time:                        11:05:05   Log-Likelihood:                 285.57\n",
      "No. Observations:                 397   AIC:                            -555.1\n",
      "Df Residuals:                     389   BIC:                            -523.3\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept        1.7070      0.165     10.373      0.000       1.383       2.031\n",
      "cylinders       -0.0262      0.012     -2.279      0.023      -0.049      -0.004\n",
      "displacement     0.0006      0.000      2.232      0.026    7.12e-05       0.001\n",
      "horsepower      -0.0012      0.000     -2.558      0.011      -0.002      -0.000\n",
      "weight          -0.0003   2.29e-05    -11.539      0.000      -0.000      -0.000\n",
      "acceleration -4.102e-06      0.003     -0.001      0.999      -0.007       0.007\n",
      "year             0.0299      0.002     16.543      0.000       0.026       0.033\n",
      "origin           0.0392      0.010      3.990      0.000       0.020       0.059\n",
      "==============================================================================\n",
      "Omnibus:                        7.894   Durbin-Watson:                   1.391\n",
      "Prob(Omnibus):                  0.019   Jarque-Bera (JB):               10.607\n",
      "Skew:                          -0.163   Prob(JB):                      0.00497\n",
      "Kurtosis:                       3.732   Cond. No.                     8.53e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 8.53e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n",
      "RECIPROCAL MPG\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:     np.reciprocal(mpg)   R-squared:                       0.885\n",
      "Model:                            OLS   Adj. R-squared:                  0.883\n",
      "Method:                 Least Squares   F-statistic:                     428.9\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):          1.48e-178\n",
      "Time:                        11:05:05   Log-Likelihood:                 1493.8\n",
      "No. Observations:                 397   AIC:                            -2972.\n",
      "Df Residuals:                     389   BIC:                            -2940.\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept        0.0929      0.008     11.839      0.000       0.077       0.108\n",
      "cylinders        0.0014      0.001      2.613      0.009       0.000       0.003\n",
      "displacement -2.369e-05   1.28e-05     -1.858      0.064   -4.88e-05    1.38e-06\n",
      "horsepower       0.0001   2.26e-05      5.047      0.000    6.95e-05       0.000\n",
      "weight        1.124e-05   1.09e-06     10.307      0.000     9.1e-06    1.34e-05\n",
      "acceleration     0.0003      0.000      1.705      0.089   -4.31e-05       0.001\n",
      "year            -0.0013   8.61e-05    -14.769      0.000      -0.001      -0.001\n",
      "origin          -0.0009      0.000     -1.951      0.052      -0.002    7.16e-06\n",
      "==============================================================================\n",
      "Omnibus:                       52.723   Durbin-Watson:                   1.477\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              114.694\n",
      "Skew:                           0.706   Prob(JB):                     1.24e-25\n",
      "Kurtosis:                       5.223   Cond. No.                     8.53e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 8.53e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n",
      "LOG EVERYTHING SENSIBLE\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:            np.log(mpg)   R-squared:                       0.891\n",
      "Model:                            OLS   Adj. R-squared:                  0.889\n",
      "Method:                 Least Squares   F-statistic:                     452.3\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):          1.57e-182\n",
      "Time:                        11:05:05   Log-Likelihood:                 304.55\n",
      "No. Observations:                 397   AIC:                            -593.1\n",
      "Df Residuals:                     389   BIC:                            -561.2\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "========================================================================================\n",
      "                           coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------------\n",
      "Intercept                7.2502      0.370     19.596      0.000       6.523       7.978\n",
      "cylinders               -0.0123      0.011     -1.174      0.241      -0.033       0.008\n",
      "np.log(displacement)    -0.0130      0.053     -0.248      0.805      -0.116       0.090\n",
      "np.log(horsepower)      -0.2377      0.053     -4.448      0.000      -0.343      -0.133\n",
      "np.log(weight)          -0.6101      0.078     -7.774      0.000      -0.764      -0.456\n",
      "np.log(acceleration)    -0.1406      0.057     -2.486      0.013      -0.252      -0.029\n",
      "year                     0.0300      0.002     17.543      0.000       0.027       0.033\n",
      "origin                   0.0200      0.010      1.955      0.051      -0.000       0.040\n",
      "==============================================================================\n",
      "Omnibus:                        8.161   Durbin-Watson:                   1.488\n",
      "Prob(Omnibus):                  0.017   Jarque-Bera (JB):               13.327\n",
      "Skew:                          -0.037   Prob(JB):                      0.00128\n",
      "Kurtosis:                       3.894   Cond. No.                     5.05e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.05e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "-----------------------\n"
     ]
    }
   ],
   "source": [
    "print('NO TRANSFORMATIONS')\n",
    "form = 'mpg ~ cylinders + displacement + horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n",
    "\n",
    "print('LOG MPG')\n",
    "form = 'np.log(mpg) ~ cylinders + displacement + horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n",
    "\n",
    "print('RECIPROCAL MPG')\n",
    "form = 'np.reciprocal(mpg) ~ cylinders + displacement + horsepower + weight + acceleration + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')\n",
    "\n",
    "print('LOG EVERYTHING SENSIBLE')\n",
    "form = 'np.log(mpg) ~ cylinders + np.log(displacement) + np.log(horsepower) + np.log(weight) + np.log(acceleration) + year + origin'\n",
    "est = smf.ols(formula=form, data=dat).fit()\n",
    "print(est.summary())\n",
    "print('-----------------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x166593128>"
      ]
     },
     "execution_count": 464,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 72 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualising variable transformations.\n",
    "\n",
    "trans = dat.copy()\n",
    "trans['mpg'] = np.log(dat['mpg'])\n",
    "trans['displacement'] = np.log(dat['displacement'])\n",
    "trans['horsepower'] = np.sqrt(dat['horsepower'])\n",
    "trans['weight'] = np.log(dat['weight'])\n",
    "trans['acceleration'] = np.log(dat['acceleration'])\n",
    "sns.pairplot(trans)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 10. This question should be answered using the Carseats data set.\n",
    "\n",
    "##### (a) Fit a multiple regression model to predict Sales using Price, Urban, and US."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  Sales   R-squared:                       0.239\n",
      "Model:                            OLS   Adj. R-squared:                  0.234\n",
      "Method:                 Least Squares   F-statistic:                     41.52\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           2.39e-23\n",
      "Time:                        11:06:16   Log-Likelihood:                -927.66\n",
      "No. Observations:                 400   AIC:                             1863.\n",
      "Df Residuals:                     396   BIC:                             1879.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept       13.0435      0.651     20.036      0.000      11.764      14.323\n",
      "Urban[T.Yes]    -0.0219      0.272     -0.081      0.936      -0.556       0.512\n",
      "US[T.Yes]        1.2006      0.259      4.635      0.000       0.691       1.710\n",
      "Price           -0.0545      0.005    -10.389      0.000      -0.065      -0.044\n",
      "==============================================================================\n",
      "Omnibus:                        0.676   Durbin-Watson:                   1.912\n",
      "Prob(Omnibus):                  0.713   Jarque-Bera (JB):                0.758\n",
      "Skew:                           0.093   Prob(JB):                        0.684\n",
      "Kurtosis:                       2.897   Cond. No.                         628.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "car_dat = pd.read_csv('carseats.csv')\n",
    "car_dat.head()\n",
    "\n",
    "form = 'Sales ~ Price + Urban + US'\n",
    "est = smf.ols(formula=form, data=car_dat).fit()\n",
    "print(est.summary())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Provide an interpretation of each coefficient in the model. Be careful some of the variables in the model are qualitative!\n",
    "\n",
    "*Intercept*: \n",
    "- coeff: 13.0435, t-statistic: 20.036, p-value: < 10^-3 sales=13.0435 when urban=No and US=No and Price=0, this is the baseline case.\n",
    "- p-value indicates this coefficient is statistically significant\n",
    "\n",
    "*Urban[T.Yes]*:\n",
    "- coeff: -0.0219, t-statistic: -0.081, p-value: 0.936\n",
    "- Represents the difference given Urban=Yes; when Urban=Yes there are 0.0219 fewer sales.\n",
    "- p-value indicates this coefficient is NOT statistically significant.\n",
    "\n",
    "*US[T.Yes]*:\n",
    "- coeff: 1.2006, t-statistic: 4.635, p-value: < 10^-3\n",
    "- Represents the difference given US=Yes; when US=Yes there are 1.2006 more sales.\n",
    "- p-value indicates this coefficient is statistically significant\n",
    "\n",
    "*Price*:\n",
    "- coeff: -0.0545, t-statistic: -10.389, p-value: < 10^-3\n",
    "- For every incremental unit of price, there are 0.0545 fewer sales\n",
    "- p-value indicates this coefficient is statistically significant\n",
    "\n",
    "\n",
    "##### (c) Write out the model in equation form, being careful to handle the qualitative variables properly.\n",
    "\n",
    "- y = b0 + b1 * Urban[T.Yes] + b2 * US[T.Yes] + b3 * price\n",
    "\n",
    "i.e:\n",
    "\n",
    "If Urban and US: y = b0 + b1 + b2 + b3 * price\n",
    "\n",
    "If Urban and not US: y = b0 + b1 + b3 * price\n",
    "\n",
    "If not Urban and US: y = b0 + b2 + b3 * price\n",
    "\n",
    "If not Urban nor US: y = b0 + b3 * price\n",
    "\n",
    "##### (d) For which of the predictors can you reject the null hypothesis H0 :βj =0?\n",
    "\n",
    "- Intercept, US[T.Yes], Price\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (e) On the basis of your response to the previous question, fit a smaller model that only uses the predictors for which there is evidence of association with the outcome."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  Sales   R-squared:                       0.239\n",
      "Model:                            OLS   Adj. R-squared:                  0.235\n",
      "Method:                 Least Squares   F-statistic:                     62.43\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           2.66e-24\n",
      "Time:                        11:10:11   Log-Likelihood:                -927.66\n",
      "No. Observations:                 400   AIC:                             1861.\n",
      "Df Residuals:                     397   BIC:                             1873.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     13.0308      0.631     20.652      0.000      11.790      14.271\n",
      "US[T.Yes]      1.1996      0.258      4.641      0.000       0.692       1.708\n",
      "Price         -0.0545      0.005    -10.416      0.000      -0.065      -0.044\n",
      "==============================================================================\n",
      "Omnibus:                        0.666   Durbin-Watson:                   1.912\n",
      "Prob(Omnibus):                  0.717   Jarque-Bera (JB):                0.749\n",
      "Skew:                           0.092   Prob(JB):                        0.688\n",
      "Kurtosis:                       2.895   Cond. No.                         607.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "form = 'Sales ~ Price + US'\n",
    "est = smf.ols(formula=form, data=car_dat).fit()\n",
    "print(est.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (f) How well do the models in (a) and (e) fit the data?\n",
    "\n",
    "- The RSE for the models in (a) and (e), 2.469, which represents 32.941% error.\n",
    "- The R-squared score for the models in (a) and (e) is 0.239.\n",
    "- We can interpret this as 23.9% of the variance in Sales is explained by price and US.\n",
    "- The r-squred score and RSE are unchaged by removing the US variable which is strong evidence that this variable does not contribute to explaining the variance in the dependent variable.\n",
    "- The F-statistic increases from 41.52 to 62.43 when one removes the US predictor - which we can interpret as..? Even more confident a relationship exists?\n",
    "- How 'well' the model fits depends on the context - in this domain is 33% error acceptable? are we pleased to be able to explain ~24% of the variance with the predictors?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RSE = 2.469, which represents 32.941% error\n"
     ]
    }
   ],
   "source": [
    "# \"Residual Standard Error\"(RSE) = \"Standard Error of the Regression\"\n",
    "# \"Residual Sum of Squares\" (RSS) = \"Sum of Squared Residuals\"(SSR)\n",
    "# \"Residual Standard Error\"(RSE) = \"Standard Error of the Regression\" = sqrt(scale)\n",
    "\n",
    "rse = np.sqrt(est.ssr / (car_dat.index.size - 3)) # = np.sqrt(est.scale)\n",
    "per_error = rse / car_dat['Sales'].mean() * 100\n",
    "rse = np.round(rse, decimals=3)\n",
    "per_error = np.round(per_error, decimals=3)\n",
    "print('RSE = {}, which represents {}% error'.format(rse, per_error))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (g) Using the model from (e), obtain 95% confidence intervals for the coefficient(s)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Intercept</th>\n",
       "      <td>11.79032</td>\n",
       "      <td>14.271265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US[T.Yes]</th>\n",
       "      <td>0.69152</td>\n",
       "      <td>1.707766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>-0.06476</td>\n",
       "      <td>-0.044195</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0          1\n",
       "Intercept  11.79032  14.271265\n",
       "US[T.Yes]   0.69152   1.707766\n",
       "Price      -0.06476  -0.044195"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "form = 'Sales ~ Price + US'\n",
    "est = smf.ols(formula=form, data=car_dat).fit()\n",
    "est.conf_int(0.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (h) Is there evidence of outliers or high leverage observations in the model from (e)?\n",
    "\n",
    "- In the eyes of ISL, there are no outliers as the studentized residuals are all < 3\n",
    "-  In the eyes of ISL, it is not clear how much leverage is significant - there are points that have leverage greater than 2 * (p + 1) / n : these are deemed significant by the statsmodels library.\n",
    "- (see comments in code below)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "expected leverage: 0.0075\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x1223b9d68>"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Influence plot with statsmodels\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "fig = sm.graphics.influence_plot(est,ax=ax, criterion=\"cooks\")\n",
    "\n",
    "# DETECTING HIGH LEVERAGE POINTS:\n",
    "# --------------------------------\n",
    "\n",
    "# In ISL:\n",
    "# They say expected leverage = (p + 1) / n, values \"greatly exceeding\" this have high leverage.\n",
    "# Hmmm... how much greater exactly is \"greatly exceeding?\"\n",
    "\n",
    "# In StatsModels docs NOTES for the influence_plot:\n",
    "# Row labels for the observations in which the leverage,\n",
    "# measured by the diagonal of the hat matrix,\n",
    "# is high or the residuals are large, as the combination of large residuals\n",
    "# and a high influence value indicates an influence point.\n",
    "# The value of large residuals can be controlled using the alpha parameter.\n",
    "# ---> Large leverage points are identified as hat_i > 2 * (df_model + 1)/nobs.\n",
    "\n",
    "# Looks like statsmodels default is to identify high levarage as 2 * (p + 1) / n\n",
    "# Looks like we can't control this - the alpha paramater is for setting the\n",
    "# threshold on large residuals - not high leverage.\n",
    "\n",
    "print('expected leverage: {}'.format((2 + 1) / car_dat.index.size))\n",
    "\n",
    "# plotting a line at 2 * (p + 1) / n to check I have understood.\n",
    "plt.axvline(x= (2 * 0.0075), c='y')\n",
    "\n",
    "# DETECTING OUTLIERS:\n",
    "# -------------------\n",
    "\n",
    "# In ISL:\n",
    "# They say studentized Residuals \"greater than 3 in absolute value are possible outliers\"\n",
    "\n",
    "# In StatsModels docs `alpha` paramater for the influence_plot:\n",
    "# The alpha value to identify large studentized residuals.\n",
    "# Large means abs(resid_studentized) > t.ppf(1-alpha/2, dof=results.df_resid)\n",
    "\n",
    "# The defalt value for `alpha` is 0.75.\n",
    "# t.ppf(1.-alpha/2, est.df_resid) = 0.3188604894390613\n",
    "# From the plot, it looks like this works out at *studentized* residuals greater than 2 in\n",
    "# absolute value.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 11. In this problem we will investigate the t-statistic for the null hypothesis H0 : β = 0 in simple linear regression without an intercept. To begin, we generate a predictor x and a response y as follows:\n",
    "```\n",
    "set . seed (1)\n",
    "x=rnorm(100)\n",
    "y=2*x+rnorm(100)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "# python equivalent\n",
    "np.random.seed(1)\n",
    "x = np.random.normal(size=100)\n",
    "y = 2 * x + np.random.normal(size=100)\n",
    "norm_data = pd.DataFrame(data={'x':x, 'y':y})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (a) Perform a simple linear regression of y onto x, without an intercept.  Report the coefficient estimate β_hat, the standard error of this coefficient estimate, and the t-statistic and p-value associated with the null hypothesis: H0 : β = 0. Comment on these results. You can perform regression without an intercept using the command lm(y∼x+0)\n",
    "\n",
    "- The coefficeint beta_hat is close to the true paramater=2.0\n",
    "- The t-statistic has a small p-value (< 10^-3) - this result is statistically significant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.798\n",
      "Model:                            OLS   Adj. R-squared:                  0.796\n",
      "Method:                 Least Squares   F-statistic:                     391.7\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           3.46e-36\n",
      "Time:                        11:18:00   Log-Likelihood:                -135.67\n",
      "No. Observations:                 100   AIC:                             273.3\n",
      "Df Residuals:                      99   BIC:                             275.9\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "x              2.1067      0.106     19.792      0.000       1.896       2.318\n",
      "==============================================================================\n",
      "Omnibus:                        0.880   Durbin-Watson:                   2.106\n",
      "Prob(Omnibus):                  0.644   Jarque-Bera (JB):                0.554\n",
      "Skew:                          -0.172   Prob(JB):                        0.758\n",
      "Kurtosis:                       3.119   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "est = smf.ols(formula='y ~ x -1', data=norm_data).fit()\n",
    "print(est.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Now perform a simple linear regression of x onto y without an intercept, and report the coefficient estimate, its standard error, and the corresponding t-statistic and p-values associated with the null hypothesis H0 : β = 0. Comment on these results.\n",
    "\n",
    "- The coefficeint beta_hat is close to the true paramater=0.5\n",
    "- The t-statistic has a small p-value (< 10^-3) - this result is statistically significant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      x   R-squared:                       0.798\n",
      "Model:                            OLS   Adj. R-squared:                  0.796\n",
      "Method:                 Least Squares   F-statistic:                     391.7\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           3.46e-36\n",
      "Time:                        11:18:54   Log-Likelihood:                -49.891\n",
      "No. Observations:                 100   AIC:                             101.8\n",
      "Df Residuals:                      99   BIC:                             104.4\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "y              0.3789      0.019     19.792      0.000       0.341       0.417\n",
      "==============================================================================\n",
      "Omnibus:                        0.476   Durbin-Watson:                   2.166\n",
      "Prob(Omnibus):                  0.788   Jarque-Bera (JB):                0.631\n",
      "Skew:                           0.115   Prob(JB):                        0.729\n",
      "Kurtosis:                       2.685   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "est = smf.ols(formula='x ~ y -1', data=norm_data).fit()\n",
    "print(est.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) What is the relationship between the results obtained in (a) and (b)?\n",
    "\n",
    "- y = b_hat * x + epsilon\n",
    "- for (a) y = 2.0 * x + epsilon\n",
    "- for (b) x = 0.5 * (y - epsilon)\n",
    "\n",
    "for example: @ x = 2\n",
    "\n",
    "*from (a):*\n",
    "\n",
    "y = 2.1067 * 2 = 4.2134\n",
    "\n",
    "4.2134 = 2.0 * 2.0 + epsilon\n",
    "\n",
    "epsilon = 0.2134\n",
    "\n",
    "*from (b):*\n",
    "\n",
    "2.0 = 0.5 * (4.2134 - 0.2134)\n",
    "\n",
    "2.0 = 2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (d) For the regression of Y onto X without an intercept, the t- statistic for H0 : β = 0 takes the form βˆ/SE(βˆ), where β_hat is given by (3.38), and where (see picture) (These formulas are slightly different from those given in Sec- tions 3.1.1 and 3.1.2, since here we are performing regression without an intercept.) Show algebraically, and confirm numerically in R, that the t-statistic can be written as (see picture)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[question_11_d.jpg](question_11_d.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19.791801987091272\n"
     ]
    }
   ],
   "source": [
    "x = norm_data['x']\n",
    "y = norm_data['y']\n",
    "\n",
    "num = np.sqrt(norm_data.index.size - 1) * sum(x * y)\n",
    "denom = np.sqrt(sum(x * x) * sum(y * y) - (sum(x * y)) ** 2)\n",
    "\n",
    "print(num / denom)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (e) Using the results from (d), argue that the t-statistic for the regression of y onto x is the same as the t-statistic for the regression of x onto y.\n",
    "\n",
    "- let the result from Q11.d be denoted f(x,y)\n",
    "- we can see that f(x,y) = f(y,x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (f) In R, show that when regression is performed with an intercept, the t-statistic for H0 : β1 = 0 is the same for the regression of y onto x as it is for the regression of x onto y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.800\n",
      "Model:                            OLS   Adj. R-squared:                  0.798\n",
      "Method:                 Least Squares   F-statistic:                     391.4\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           5.39e-36\n",
      "Time:                        11:23:12   Log-Likelihood:                -134.44\n",
      "No. Observations:                 100   AIC:                             272.9\n",
      "Df Residuals:                      98   BIC:                             278.1\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.1470      0.094      1.564      0.121      -0.039       0.334\n",
      "x              2.0954      0.106     19.783      0.000       1.885       2.306\n",
      "==============================================================================\n",
      "Omnibus:                        0.898   Durbin-Watson:                   2.157\n",
      "Prob(Omnibus):                  0.638   Jarque-Bera (JB):                0.561\n",
      "Skew:                          -0.172   Prob(JB):                        0.755\n",
      "Kurtosis:                       3.127   Cond. No.                         1.15\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      x   R-squared:                       0.800\n",
      "Model:                            OLS   Adj. R-squared:                  0.798\n",
      "Method:                 Least Squares   F-statistic:                     391.4\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           5.39e-36\n",
      "Time:                        11:23:12   Log-Likelihood:                -49.289\n",
      "No. Observations:                 100   AIC:                             102.6\n",
      "Df Residuals:                      98   BIC:                             107.8\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -0.0440      0.040     -1.090      0.279      -0.124       0.036\n",
      "y              0.3817      0.019     19.783      0.000       0.343       0.420\n",
      "==============================================================================\n",
      "Omnibus:                        0.456   Durbin-Watson:                   2.192\n",
      "Prob(Omnibus):                  0.796   Jarque-Bera (JB):                0.611\n",
      "Skew:                           0.118   Prob(JB):                        0.737\n",
      "Kurtosis:                       2.698   Cond. No.                         2.12\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "print(smf.ols(formula= 'y ~ x', data=norm_data).fit().summary())\n",
    "print(smf.ols(formula= 'x ~ y', data=norm_data).fit().summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 12. This problem involves simple linear regression without an intercept.\n",
    "##### (a) Recall that the coefficient estimate β_hat for the linear regression of Y onto X without an intercept is given by (3.38). Under what circumstance is the coefficient estimate for the regression of X onto Y the same as the coefficient estimate for the regression of Y onto X?\n",
    "\n",
    "- The numerator is always the same\n",
    "- The coefficients are different when the denominator is different\n",
    "- The coefficients are the same when the deonmoinator is the same: i.e: when `sum(x ** 2 ) == sum(y ** 2)`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Generate an example in R with n = 100 observations in which the coefficient estimate for the regression of X onto Y is different from the coefficient estimate for the regression of Y onto X."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      x   R-squared:                       0.003\n",
      "Model:                            OLS   Adj. R-squared:                 -0.007\n",
      "Method:                 Least Squares   F-statistic:                    0.2769\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):              0.600\n",
      "Time:                        11:25:05   Log-Likelihood:                -142.25\n",
      "No. Observations:                 100   AIC:                             286.5\n",
      "Df Residuals:                      99   BIC:                             289.1\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "y             -0.0499      0.095     -0.526      0.600      -0.238       0.138\n",
      "==============================================================================\n",
      "Omnibus:                        0.381   Durbin-Watson:                   2.209\n",
      "Prob(Omnibus):                  0.826   Jarque-Bera (JB):                0.472\n",
      "Skew:                           0.139   Prob(JB):                        0.790\n",
      "Kurtosis:                       2.812   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.003\n",
      "Model:                            OLS   Adj. R-squared:                 -0.007\n",
      "Method:                 Least Squares   F-statistic:                    0.2769\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):              0.600\n",
      "Time:                        11:25:05   Log-Likelihood:                -148.01\n",
      "No. Observations:                 100   AIC:                             298.0\n",
      "Df Residuals:                      99   BIC:                             300.6\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "x             -0.0559      0.106     -0.526      0.600      -0.267       0.155\n",
      "==============================================================================\n",
      "Omnibus:                        0.426   Durbin-Watson:                   1.977\n",
      "Prob(Omnibus):                  0.808   Jarque-Bera (JB):                0.121\n",
      "Skew:                          -0.045   Prob(JB):                        0.941\n",
      "Kurtosis:                       3.145   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "x = np.random.randn(100)\n",
    "y = np.random.randn(100)\n",
    "\n",
    "print(smf.ols(formula='x ~ y -1', data={'x': x, 'y':y}).fit().summary())\n",
    "print(smf.ols(formula='y ~ x -1', data={'x': x, 'y':y}).fit().summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) Generate an example in R with n = 100 observations in which the coefficient estimate for the regression of X onto Y is the same as the coefficient estimate for the regression of Y onto X."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      x   R-squared:                       0.243\n",
      "Model:                            OLS   Adj. R-squared:                  0.235\n",
      "Method:                 Least Squares   F-statistic:                     31.70\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.69e-07\n",
      "Time:                        11:26:36   Log-Likelihood:                -532.84\n",
      "No. Observations:                 100   AIC:                             1068.\n",
      "Df Residuals:                      99   BIC:                             1070.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "y              0.4925      0.087      5.630      0.000       0.319       0.666\n",
      "==============================================================================\n",
      "Omnibus:                       33.630   Durbin-Watson:                   0.001\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):                6.002\n",
      "Skew:                          -0.000   Prob(JB):                       0.0497\n",
      "Kurtosis:                       1.800   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.243\n",
      "Model:                            OLS   Adj. R-squared:                  0.235\n",
      "Method:                 Least Squares   F-statistic:                     31.70\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.69e-07\n",
      "Time:                        11:26:36   Log-Likelihood:                -532.84\n",
      "No. Observations:                 100   AIC:                             1068.\n",
      "Df Residuals:                      99   BIC:                             1070.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "x              0.4925      0.087      5.630      0.000       0.319       0.666\n",
      "==============================================================================\n",
      "Omnibus:                       33.630   Durbin-Watson:                   0.001\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):                6.002\n",
      "Skew:                          -0.000   Prob(JB):                       0.0497\n",
      "Kurtosis:                       1.800   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "x = np.arange(100)\n",
    "y = np.arange(100)[::-1]\n",
    "\n",
    "print(smf.ols(formula='x ~ y -1', data={'x': x, 'y':y}).fit().summary())\n",
    "print(smf.ols(formula='y ~ x -1', data={'x': x, 'y':y}).fit().summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 13. In this exercise you will create some simulated data and will fit simple linear regression models to it. Make sure to use set.seed(1) prior to starting part (a) to ensure consistent results.\n",
    "\n",
    "##### (a) Using the rnorm() function, create a vector, x, containing 100 observations drawn from a N(0,1) distribution. This represents a feature, X."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.random.randn(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Using the rnorm() function, create a vector, eps, containing 100 observations drawn from a N(0,0.25) distribution i.e. a normal distribution with mean zero and variance 0.25."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "eps = np.random.normal(0, 0.25, 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) Using x and eps, generate a vector y according to the model: `Y =−1+0.5X+ε`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = -1 + 0.5 * x + eps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### ci What is the length of the vector y?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "length of vector y: 11.56529239894809\n"
     ]
    }
   ],
   "source": [
    "print('length of vector y: {}'.format(np.linalg.norm(y)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### What are the values of β0 and β1 in this linear model?\n",
    "\n",
    "- β0 = - 1\n",
    "- β1 = 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create a scatterplot displaying the relationship between x and y. Comment on what you observe.\n",
    "\n",
    "- There is a linear relationship with constant variance and positive gradient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x122bf2cf8>"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=x, y=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (e) Fit a least squares linear model to predict y using x. Comment on the model obtained. How do βˆ0 and βˆ1 compare to β0 and β1?\n",
    "\n",
    "- We can reject the null hypothesis: p-value for the t-statistic for the βˆ1 coefficient is < 10^-3.\n",
    "- There is a strong relationship; x explains 81.6% of the variance in y (R=0.816).\n",
    "- βˆ0 and βˆ1 approximate β0 and β1 closely.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.816\n",
      "Model:                            OLS   Adj. R-squared:                  0.814\n",
      "Method:                 Least Squares   F-statistic:                     433.9\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           8.97e-38\n",
      "Time:                        11:46:25   Log-Likelihood:                -1.8928\n",
      "No. Observations:                 100   AIC:                             7.786\n",
      "Df Residuals:                      98   BIC:                             13.00\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -0.9741      0.025    -39.043      0.000      -1.024      -0.925\n",
      "x              0.5416      0.026     20.830      0.000       0.490       0.593\n",
      "==============================================================================\n",
      "Omnibus:                        2.160   Durbin-Watson:                   2.504\n",
      "Prob(Omnibus):                  0.340   Jarque-Bera (JB):                1.624\n",
      "Skew:                          -0.162   Prob(JB):                        0.444\n",
      "Kurtosis:                       3.533   Cond. No.                         1.07\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "print(smf.ols(formula='y ~ x',data=pd.DataFrame({'x' : x, 'y' :y})).fit().summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (f) Display the least squares line on the scatterplot obtained in (d). Draw the population regression line on the plot, in a different color. Use the legend() command to create an appropriate legend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x123ba5e10>"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting population regression line in yellow\n",
    "ax = sns.regplot(x=x, y=y)\n",
    "x1 = -3\n",
    "y1 = -1 + 0.5 * x1\n",
    "x2 =3\n",
    "y2 = -1 + 0.5 * x2\n",
    "plt.plot([x1, x2],[y1, y2],c='y', label='population regression line')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (g) Now fit a polynomial regression model that predicts y using x and x^2. Is there evidence that the quadratic term improves the model fit? Explain your answer.\n",
    "\n",
    "- No\n",
    "- The R-squared score remains unchanged\n",
    "- The t-statistic for the coefficient on the polynomial term is not statistically significant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.816\n",
      "Model:                            OLS   Adj. R-squared:                  0.813\n",
      "Method:                 Least Squares   F-statistic:                     215.6\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           2.00e-36\n",
      "Time:                        12:14:17   Log-Likelihood:                -1.7262\n",
      "No. Observations:                 100   AIC:                             9.452\n",
      "Df Residuals:                      97   BIC:                             17.27\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -0.9636      0.031    -31.002      0.000      -1.025      -0.902\n",
      "x              0.5388      0.027     20.316      0.000       0.486       0.591\n",
      "I(x ** 2)     -0.0115      0.020     -0.569      0.571      -0.052       0.029\n",
      "==============================================================================\n",
      "Omnibus:                        1.975   Durbin-Watson:                   2.529\n",
      "Prob(Omnibus):                  0.373   Jarque-Bera (JB):                1.410\n",
      "Skew:                          -0.172   Prob(JB):                        0.494\n",
      "Kurtosis:                       3.469   Cond. No.                         2.33\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x123e5d8d0>"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(smf.ols(formula= 'y ~ x + I(x ** 2)', data=pd.DataFrame({'x':x, 'y':y})).fit().summary())\n",
    "sns.regplot(x=x,y=y, order=2)\n",
    "# plotting population regression line in yellow\n",
    "x1 = -3\n",
    "y1 = -1 + 0.5 * x1\n",
    "x2 =3\n",
    "y2 = -1 + 0.5 * x2\n",
    "plt.plot([x1, x2],[y1, y2],c='y', label='population regression line')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (h) Repeat (a)–(f) after modifying the data generation process in such a way that there is less noise in the data. The model (3.39) should remain the same. You can do this by decreasing the variance of the normal distribution used to generate the error term ε in (b). Describe your results.\n",
    "\n",
    "- The R-squared score has increased; indicating a better fit. We also see this in the plot, where it is clear that the RSS has decreased.\n",
    "- The t-statistic of the coefficient has increased; indicating more confidence in the relationship (the ratio of effect to error has increased)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.963\n",
      "Model:                            OLS   Adj. R-squared:                  0.963\n",
      "Method:                 Least Squares   F-statistic:                     2584.\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           3.06e-72\n",
      "Time:                        12:32:37   Log-Likelihood:                 97.892\n",
      "No. Observations:                 100   AIC:                            -191.8\n",
      "Df Residuals:                      98   BIC:                            -186.6\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -1.0040      0.009   -109.031      0.000      -1.022      -0.986\n",
      "x              0.5032      0.010     50.838      0.000       0.484       0.523\n",
      "==============================================================================\n",
      "Omnibus:                        0.876   Durbin-Watson:                   2.033\n",
      "Prob(Omnibus):                  0.645   Jarque-Bera (JB):                0.875\n",
      "Skew:                          -0.217   Prob(JB):                        0.646\n",
      "Kurtosis:                       2.855   Cond. No.                         1.11\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12449ae80>"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.randn(100)\n",
    "eps = np.random.normal(0, 0.1, 100)\n",
    "y = - 1 + 0.5 * x + eps\n",
    "print(smf.ols(formula='y ~ x', data=pd.DataFrame({'x':x, 'y': y})).fit().summary())\n",
    "sns.regplot(x=x, y=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (i) Repeat (a)–(f) after modifying the data generation process in such a way that there is more noise in the data. The model (3.39) should remain the same. You can do this by increasing the variance of the normal distribution used to generate the error term ε in (b). Describe your results.\n",
    "\n",
    "- The R-squared score has decreased; indicating a worse fit. We also see this in the plot, where is is clear the RSS has increased.\n",
    "- The t-statistic of the coefficient has decreased and its p-value has increased, whilst, the result is still significantly significant, it is less so."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.037\n",
      "Model:                            OLS   Adj. R-squared:                  0.027\n",
      "Method:                 Least Squares   F-statistic:                     3.764\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):             0.0553\n",
      "Time:                        12:38:22   Log-Likelihood:                -202.87\n",
      "No. Observations:                 100   AIC:                             409.7\n",
      "Df Residuals:                      98   BIC:                             414.9\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      1.2510      0.188      6.669      0.000       0.879       1.623\n",
      "x             -0.3653      0.188     -1.940      0.055      -0.739       0.008\n",
      "==============================================================================\n",
      "Omnibus:                        3.529   Durbin-Watson:                   2.033\n",
      "Prob(Omnibus):                  0.171   Jarque-Bera (JB):                2.984\n",
      "Skew:                          -0.411   Prob(JB):                        0.225\n",
      "Kurtosis:                       3.203   Cond. No.                         1.15\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1245d6240>"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RUUBEFBC1/BsXBbznUBoPnVjFuVwJ+9Ix3HpgHBO5RWSzi560t5dclQREVUQtU1YrYzNfxpWjMWSz2b62zQ/GhTLObJZq9zfzxshvWN5/O8L0/gVdd5dbLMvyfgAPALhbUZQvt3tuNpu9GsCLI3uvhhhxPgHZLgPDDl3XsVYo4/z6Fn4x/xyiu/Y0RO6L61tY2thC2WU+9UgsUvPczYwZr/z3R08suZrsdML8/DxmZ2c9+V0mZlndmvXiYKI0CKVhs9ksLqanbUcOThcP9Quvrp/V897M5zGSMhafBf399xq3td57SbFYNAOvmbm5uZPWx9xOWF4O4AiAf6Moyo+6bqENO2Vg2CEIAsaTMYwnY6i8NILZ2Zltz9F0HcubRcNzXy9YLJo8zq9vYXFjC8u5IuzkfbNUwfHlDVu/12RXMla3Y6yZM9X7rfx3t5Od/aJWVrfpuBGli4harJdYRMQ/HjuP//j939Se189Jsm5ycPvVAXmZnunVzkKkv7j1vP8GwC4An5Bl+RPVY29TFGX72N8lbjMwdkIUBOxJJ7AnncArW3xWrf77+Y2tmqgvrtWPtfLfL22VcGmrhGeb/ffa+YHL0on65KrlZ5jz300qmo6KpmKrojakNX7uZ8+hWFEhwOhkBcH4W9zzi2N9EQ03ObheVJpzK/xeTzJ2u7MQ6T9uPe8PAvigx21poBcZGE6JSSKuGB/BFeOtJwzzpUrDpOpiVeDPWyZct8rqttdpOnBho4ALbfz3qCRiajSxTdSnRpPYm0lhKpPEaDwSKoF/9sIaVvIllFQVMUnCrlQM6VgEzy6t4cWLG4hKYu1fv1eWthLZbgS0W+HnJCNpJrDL4/3MwHBDKhbBgYlRHJiwT4+z+u/Nom4K/oUW/ntZ1XBmNY8zLTow4/xS1XtPWYS9KvJVLz4o+e+PnliqCTcAlFQVFza2gNEkrrt83Ehr1FSgqbOzriw1MmGq/xykNrqNctuJbDcC2m3kHLT0TNJ/Aive3S437zdW//3ll4/ZPsf0389XxXzBatOs59v67/mSiuMXczjeQlCAuv8+gjLkBa1hYnUqY5QQ9SO6vf/pU9iVihmCbeFSvtT279lqZakA1CN1UajdNoW9nQBP7NDWdiLbiYA2dx6/OXcJo/HtXzenkXOY0zNJbwiseHez3DwsWP33w3t32T7nJy+cx9/+9BmUVc34p2koqzr2j4+gpKpt899N/x0AfnXhRZvzG/57gz3TA//97Goe6VgEGE3iksU6mUjFXP09ddTz1ZsRYPjrJVWr+uuAAMNj//IvjuHfXdd+5NYuuv7Pf/AqRwJq13m8lCtA1+Pbqgs6jZxZeIo0E1jxBsKXgdELvvPbMzW7wMoVYyl8+h2vAdDov9c8eItVs7C22TL/3fTfn1po7b9PW+vPWPx3Q+RTO/rvpgWWjkUMEa9y1a7GmsedpobaocPITNIaUmCN288treH0/gh2N3nsZnZMRBTaRtdOBdQuep8ciWN5s9hVaVgWniJWAi3exNnE7U7++9GjR7H/oFzPmmlaubqT/75T/Zl4RMQVY6mqLZOqCnuidv/Wa6/A3Y8p215ntUzcpIa2ot18iQ609NgBQyA/c/6ZWlYMYETvf/yqq7BVruBN11yOtxyabpvPbhe9ZxJRiAJwcDIzlJFzEHL8Bw2Kd8DxYuLWjf9uFXkzin8pV7D134sVbUf/PR2LQBQE6NCxOxnH3P4JrBVKyJ65iKlMEt966qTt69ykhradL8kvtX3t62f2QNe323XXTo03TCALMGwvSRQgCgJEAbXb02NJnLqYAyyWjQDg8N7duO9fvR6ovjZM2ULd4GcJ4WHqJCjeAceviVsn/ntJ1fCX3/4FTl3abPDfK6oGVAWslf9uraWyUazg1Oom7j96uuE5EXPyURQRlYzbG8Uyji5ewnQH9WfazZfMz7cXb+vr73/6FM6sbtbWHFg7ER3GQiXVxo667dr9lr9Z/fGb5b0NHZy1A5AEARHJ+CmJhoUjVf9FRBGSIPS0zG8vcZpp063w+tlJBAGKd8AJ0sTtk6eW8ZuFS9Xyskau9mUjxkdIFAX8/XveiHypggsb1cyZptIEZiZN3sauACwLfND4+B/f+wiAev67Yc3U/ffpTL0OvOm/dzNf0q2F4/Rvtq0D2KG8mwDUhN4UdlPszT5N1400VfP3m7cFQWhYIGX+vo2SirWtEqx9ojldYI4oRFFoGEEYx6v3HXSmTlIsvRDeYauWSPEOAUGYuDUFzfxiW3O107FIzcZJxSKYmRjFjMP8d9OaeXrhEo4uXkJZ1VDRdFt7xnH+eybVVHMmUct9L9pkqDTjxereXvzNfubBhG4zK4UKLuQKrl9virm5YrZZygVBwOWjCZxa2azaSHX2j49iJV+EKAj4wuPPQ63OuQi1/4wMoTcfmnK0a9SwLWSieBNHmILWnK99KV9COhZxbOO089/N4lynV3PYk07idVdN4vLR5LYyBe3893xJ3bH+zPhPzjWKe1OxsTM2cwyAP6t7W+HlhK6XmKMH449hX/Dt7bNXGm1tevhfXHtFrY7/8Zc2mjKEDJ5bWqtZTWLTHII5byBWRwBTmWonUcXsBK6sdhK27beccrVYwbKlI2tujbWInzmS8dLKMn+TYOkERd1+lAr4LN77xpKIRGNQNR2arkPTYbmt125bH9eho/bZAGq5u0D9wnux57rg0e8ZVMysl+Z8bUEAPvTGaz0RkE6i1bKqYWmjUE+JrBUXK9Tur26VbF+7ulXC6lYJzy7Z158BGv13HTpKFQ2SKOB9X38Mf3T4Krzt2n2+1n/vVa0fP3BiIzmZmNfMDqL2RW38xv7hdVfazg/dYukk2rFWVLHS4jPTLzKR1p8xX8U7JkmIR3t3Sl3Xa4K+NhrDwRZDdyt2vl3NM6x1DkZHolV/v/Fze+fSqryuXvu99edoul59TdX31HSommbbYQUB65fLmq991a50X8QjKonYN57CvvFUy+eY/rtZVOz8xhaeObWAYiRRs2s68t9V4PFTy3j81DI++t1/st3Uo1f1Z/pZ68cLduqYvZiYD9L8kB8MlG1inYwRu5idt+b3Vo+gX1VCzA7J7ECsoxO1YZRSf561M9F1ICYZmyho1Y7CDeaXK1eqNKySfKs87e0b9hA7/31+vFKrba7rOtaL5XppAssEq7K0hjOredviYoAh7m7qz0xnErX7ndSf6UWtn0dPLOGe7Hls/OqiZx66W7wS3iDMD/nFQIn3IFLvkIwOxE2tqaWRWIOAqZpWFX3Uon1zJGAdXVgtrDcfmsKzS6v44uPHUNLq2SY/UBZx3dSuUH5hBEHAWCKGsUQM8h77/Pd33fMTlKppkRVVR0nVUNE0lDUdV+9OY3E970n9mdoqVusGH9X671FJ9Dxl1PTQtwplJBORQHjowyS8XkDxHkIkUUR9tb3z3uDsah6HLjM6AWs62sPPnsMfHb6yajUY2SKVataI20g/KOzfNYLTlzaNAl6Wle1X7UrXyhOUVA0vbRSwsJ7HBYsPby0V3Mp/36n+u4Bq/ZmMEaWvbJZQUCuYSqfwtmv3Qd6TgabrHfvvYfbQiQHF2wcGZdWXNRWrZi3B8F3HkjHb1+iW6N3q/Vc0rZYWaC265XKHup7hJOKNOfDft8qVppozBWOC1ZIuaee/6wCWcgUsNaXzLa4X8OuFFfyXHx5FVBJxedqa995YYOzkyiYefvYszq1t1eyRsHvohOLdcwZp1ZebmtJCdeXgduwjfs3q4QOoVKsHllXN4vFXrZ/qpHEv8cqLTUZ3zn83/XfroibrZh/t6s+cXcvj7Fpr/10UgKgo4sRKDo+ffAmp6oSzpmoQKyqikghREAJTL5/sDMW7x3Sy6ivoEbofNaVFUYBoWcoRj0hoJyd6gzdfF3Uzoq//7C6q16spavbLh7rHif+u6ToubhZtK0fulP+u6Zba6ABWrWUMNo0RlSQIWC+W8YFv/aLBfzcjer/qvxNnULx7jNNVX2GI0INYU1oQzCXi5pHWHr6qaVgeiWJvJlkTdjNrp2KJ7K3iF6TFMaIg4LJ0Ape1qT/TnP/+qX/8rTHJaqlF02oeQtXbZ9A013+fGk1um2ydHHFWf8YNXpQMHiQo3j3GqdUQlroMYa4pLYnG/pg/P/lS2xGOmY2j6jq+9+xZRCUBa4UyVvKlWl2X//nz5wMpHM357z9+YXFbiqGm67hsJIH3vO4aZJ89BnF0oua/mxF9vtR+/9WW9d9FAZdbVq/a5cJn4tGO89+D1IkGBYp3j3FqNXRSlyHo9kqQeWIxh3tfaD/CsWbjnF3NY7OkVjeMNqLfsqpi/sIlzC9ewutn9qBc9eUrQZtthf2EqygIePdrr8HvXb0HmdwSZmflhseb/XdT1Bec+O+avqP/nopKthOr1ig+2bSYj9kx26F49xinVoPTCD0M9kqQefD4Kuw+9q1GODMTafxAWWw4JggC4hEJ33rqNG4/fFXtuK7XM2fMSdZixbjtJmXSC5vAzYRrJ/578w5O1vst68+UVZy4mMOJNvnv48mYxY5J4NdnVyBZ9iuNikZdk2HOjqF4+4ATq8FphB4WeyWonMuVkEw53wj4zhsO4qHfnt12fHIkvu01giAgFpEQs5lkVZvy3809OIsV1TZi99Im6MXiF6v//orpNv57rmA7wepV/Zl0LIIP/99f1v13S0Q/0UP/PQhQvAOC0wh92Mpees2+dAwrNlVhW6U73izvxWv2T+Do4iqKqoq4JGFyxNhI2OnmwUDdiolHtk+oqpqGQlnFVllFoaKiWNEGwiaISiL2jaWwb6yT/PdGq2Zxh/ozq4UyHn5uwf78Tf771GhTFckxd/57UKB4BwgnEbqbXGtS57ZrxnHvC9s7wHbpjh97yyt6miIpiSJG4iJG4vUlnC/lCohFREshNCNNcdBsgk7y33/0/Hn8+IXzWMptISqJSMejhvhvFFC2qdPeif8+NZpEQi3g2tXntk2wNvvvQSGYrSINWCcok1EJ64VyV7uQDzM3Tqdx6NChjtId+5EieWBy1OikBUCy5L0fmBjFFWOpmuVSrBg/gzdV6g3N/vtf3CRve06z/97svXfiv//4zPaNsscS0VqlyKlMoqHYmLX+jN9QvANO8wTlZnUvSDPqCEKuddhwk+7YbYpkpxlCreZA3ve6g0jFImg2IspVMbeKesnBrkGDQCf+uynstSqSDurPrBXKWCustfTfrfVnpke3Z85MZ3rjv1O8XeJXup7dBGUmEcXUaBJfe/cbPD+fHUxN7A43GUKdRvtmFoYVTdOrHroh6qUuMl/CjhP/PfvU09i9/0B1Uw+j/sz52iYfrfPfrfVnnkbn+e+myI8lOvPfKd4u8DNdr98TlExN7B63GULdRvuiKBhReqzxa14xo3NVQypipN3Z5WwPG3FJxMzuNGZ2p20ft8t/b06T7MZ/T0albYuaXnV5Bofj9s+neLvAz3S9fk9Qun2vjNbr9LsDbiYiiYhIIkYAXJaKYmZiFKqm1fzzkqoNvJfuBqf57yv5ou0GH6bgv5Qr2NbZ2bLJf58eieIf3n7I9lwUbxf4+WXsVTEop+Lq5r0yWm+k3x2wEyRRRComNkTpuq7XPPRSxShqVaqojNLbIAoCJkcSmBxJYNaN/15NkbzkYC9NircL/Pwy9iLToRNxdfNeB30hkVeTj0HPEDJXkjbnpmuajq1yBYWKVv2pBq4Oe5BxnP++UUBK0IGN87bPoXi7wO8vo9fFoDoRVzfvNWg2gZf4MfkYdERRwEg8ipE4ABiGbFk1FhqZXnqhrA7lxKhXJKMRzOxOIxMRcI7i7R1h/zJ2Iq5u3msYbAK39GvyMeiY2S6jlr3iyqoRmW9VV48OS+qiX7gWb1mWRQB3A3glgCKAP1MUxf6TPYCE+cvYqbh2+l7DahM4YZBHFV5jCHoMmYRxX9W0mpBvVaN0xubu6WZZ0DsAJBRF+V0AHwXwaW+aRHrNnTcctD3ulbjeLO/FXbdcj4OTGUiigIOTGdx1y/Wh7eyszEzYp5ENwqii10iisaT9snQCV+4awcHJUVw5PoI96QTGElHEJeseSmQnurFNbgLwMAAoivKELMuv8aZJpNf4YfuEeWTSjkEeVfgDtyXxAAAL+klEQVSNIAhIRCUkovUJUV3Xa2mKhYpq+Oi0W2wRdJeTCrIsfxHAtxVF+X71/mkABxRFqTQ/N5vNXg3gxS7aSXrIE4s5PHh8FedyJexLx3DbNeO4cdo+wiTG9XroRP163XqA16uXaLqOkqqjoBrbuJU0PZAbX/SCXXEJmXgEAGbm5uZOWh/rJvJeB2AdK4p2wm1ldnYW8XiL5UIek81mMTc358u5gk67a3FEWajuLBNBMhXBigbc+0IOhw4dGsjIeafPhZM0wDkAH+hxO/0irN8TrVYTvV7HpVVtdKfMz89jdnbWw1Z2TyYi4NyJ520f60a8HwNwG4C/l2X5RgBHu/hdpE8Mek52JwR1cdGgrFbt5H3s9FxRFJAQGy0XoF4bvVDRanVdBjVK70a8HwDwVlmWfw6jsNad3jSJ+AmzJ+oEsSMLaofSKZ28j27ec702ev1YRdVqG10MUpaLa/FWFEUD8OcetmXoCEJENcg52Z0SxI4siB2KGzp5H16/54gkYtSSg25OipqrQwvlcC7597+COAFQjy6OL29A0/VadHFEsd/SqVf0Om0wTAQxDTCIHYobOnkfvX7PZpbLrlQc05kUZiZGcWB3Gpclo9idjCEZkUKRskjx7hPtogs/GeSc7E4JYkcWxA7FDZ28j36854gkIhUVMZlOYH81B/2qXUYOeiYeRawPO+XsBJfH94kgRVSDmpPdKUEsezAoeeWdvI8gvOeGolxJ41jzZGi/67dQvPsEveZgErSOLIgdihs6eR9Bfc+tJkNNIS9UFxb5ZZ9TvPtEEKILEg6C1qG4pZP3EZb3HJFEpKs72ZsUq2Ju1HCp9GwylOLdJ4IaXQQhA4aQMGPaLWNVu6VXqYoU7z4StOhiUHKKSfewE/cOu1RFU8zNCN2Nd07xJjUGJaeYdAc78d4iCNs3hjZrn5sTok6ic4o3qRGkDJgwMKjRKTtx/2mufa7rOgoVFeVS670sKd6kBjNgnDPI0Sk78f4jCAKS0QhETW35nOBlnpO+EcRFKkElKIusesGgLAwadBh5kxpBzYDxi05skEGOTpnGGg4o3qSBoGXA+EWnNohpMa0XyljeLKJYURGPSDi8d5dvbe4Vw96Jh4WBF+9BnVQi3tLpJN2dNxzE+7/xc1zYKECHDgECVE3HwloeR5SFnn3G/Po8D2snHiYGWrwHeVKJeIsbG2S9UG48UC1F16usDH6eiZWBnrAc5Ekl4i3JqIQTF3N49sIaTlzM1YS51STdPU8eg6briEdEJCIS4hERkiBgebPYM9+bn2diZaAj70GeVCLecURZwOL6FooVIy2rWFFxbi0PINVyku7FiznEI1LtNSbFitqzrAx+nomVgY68mfJEnHDPk8eQSUSxbyxllAAVjPoUe8dSLe2ImYk0Jke2b6Ydj0g9y8rg55lYGWjxZt4ycYIZ0WYSURyYSON39ozhwEQaW+VKy9fcecNBW8H/t//s2p75z/w8EysDbZsw5Yk4wc3K0l59ttplk/DzTKwMtHgDTHkiO+N2UYrXny0n2ST8PBOTgRdvQnYiKBEtC0KRTqB4E4JgRLTMJiGdMNATloSECWaTkE6geBMSEJhNQjqBtgnxFdaaaU1QvHcSDijexDdYm2NnguC9k3BA8Sa+EeRsCqcjAo4cSFCgeBPfCGo2hdMRAUcOJEhwwpL4RlCzKZxW62NVP285oizgjvsewY2f+R7uuO8RHFEW+t2kUEHxJr4R1GwKpyOCoI4cwog5ijm+vAFN12ujGAq4cyjexDdulvfirluux8HJDCRRwMHJDO665fq+Ww5ORwRBHTmEEY5iuoeeN/GVIGZTOK1two15vYOjmO6heJOhx2l+NfOwvcNNJUfSiCvxlmV5DMBXAWQAxAB8RFGUx71sGCF+4nREEMSRQxjhKKZ73EbeHwHwI0VRPiPLsgzg6wBe7V2zCCGDDEcx3SPout7xi2RZHgdQVBRlS5bl6wD8L0VRfq/V87PZ7NUAXnTdSkJIz3hiMYcHj6/iXK6EfekYbrtmHDdO20/Okr4xMzc3d9J6YMfIW5bl9wP4cNPhOxVF+aUsy1Mw7JMPOTn77Ows4vHt+/71gmw2i7m5OV/OFXR4LerwWjTy+Yd+intfyAGIIJmKYEUD7n0hh0OHDg1dFBzEz0axWMT8/LztYzuKt6IoXwLwpebjsiy/AsA3APyVoig/7baRhBD/efD4KuxkIAglC0h73E5YXgvgmwD+paIoT3nbJEKIX5zLlZBMbZcBpuwFH7cTlp8EkADwWWO+EmuKorzds1YRQnxhXzqGFW37cabsBR9X4k2hJmQwuO2a8arn3QhT9oIPF+kQMsTcOJ3GoUOHmLIXQijehAw5XHgUTliYihBCQgjFmxBCQgjFmxBCQgg9bzK0cD9KEmYo3mQo4X6UJOzQNiFDCXdyIWGH4k2GEu7kQsIOxZsMJdyPkoQdijcZSoK6kz0hTuGEJRlKuJMLCTsUbzK0cFk4CTO0TQghJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJIRQvAkhJISwtsmAYbe110S/G0UI8RxG3gOEubXX8eUNaLpe29rriUX7jQcIIeGF4j1AtNra66ETqz63hBDSayjeA0Srrb3O5Uo+t4QQ0mso3gNEq6299qVjPreEENJrKN4DRKutvW49MO5zSwghvYbZJgNEq629JnKLfW4ZIcRrKN4Dht3WXtksxZuQQYO2CSGEhBCKNyGEhJCubBNZll8O4BcALlcUpeBNkwghhOyEa/GWZTkD4NMAit41hwQdu+X3zR47IaT3CLqud/wiWZYFAF8H8EkA/wDg5e0i72w2ezWAF122kQSEJxZzuPuppW3H/+KVe3DjtH2OOSHEE2bm5uZOWg/sGHnLsvx+AB9uOnwKwDcURXlKlmXHZ5+dnUU8Hnf8/G7IZrOYm5vz5VxBx6tr8an7HsFIKrXt+GOXRHzg1nBca34uGuH1qBPEa1EsFjE/P2/72I7irSjKlwB8yXpMluVjAN5fFfYpAEcA/H73TSVBptXy+xdXNnxuCSHEleetKEptKZ8syycB3OxRe0iAmZlI4/jydqGe2T3ah9YQMtwwVZA4ptXy+/fecI3PLSGEdL3CUlGUqz1oBwkBrZbfM9uEEP/h8njSEXbL7wkh/kPbhBBCQgjFmxBCQgjFmxBCQgjFmxBCQohfE5YSAJRK/u6lWCyy7IoJr0UdXotGeD3qBO1atNNMV7VNOiWbzd4E4Gc9PxEhhAwmndc28YhfAngDgEUAqk/nJISQsCNVf55tfsCXyJsQQoi3cMKSEEJCCMWbEEJCCMWbEEJCCMWbEEJCCMWbEEJCyMBWFZRleQzAVwFkAMQAfERRlMf726r+IsvyOwG8S1GUP+l3W/xGlmURwN0AXglj0+w/UxTlWH9b1V9kWX4dgP+mKMqb+t2WfiHLchTAlwFcDSAO4C5FUb7T10Y5ZJAj748A+JGiKG8E8F4An+9vc/qLLMufhbFh9CD/zdvxDgAJRVF+F8BHAXy6z+3pK7Is/3sAXwSQ6Hdb+syfArioKMobAPwBgM/1uT2OGeQv8t8B+EL1dgRAy93th4SfA/jX/W5EH7kJwMMAoCjKEwBe09/m9J3jAG7vdyMCwDcBfKJ6WwBQ6WNbOmIgbJMWO9zfqSjKL2VZnoJhn3zI/5b5T5tr8X9kWX5TH5oUFDIA1iz3VVmWI4qihObL6iWKonxbluWr+92OfqMoSg4AZFkeBfAtAB/vb4ucMxDibbfDPQDIsvwKAN8A8FeKovzU94b1gVbXgmAdgHWnZHFYhZs0IsvyfgAPALhbUZSv9bs9ThlY20SW5WthDIn+RFGU7/e7PaTvPAbgFgCQZflGAEf72xwSBGRZvhzAEQB/rSjKl/vdnk4YiMi7BZ+EMRnzWVmWAWBNUZS397dJpI88AOCtsiz/HIa3eWef20OCwd8A2AXgE7Ism9732xRF2epjmxzBwlSEEBJCBtY2IYSQQYbiTQghIYTiTQghIYTiTQghIYTiTQghIYTiTQghIYTiTQghIeT/A3cjwUjZdvjEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.randn(100)\n",
    "eps = np.random.normal(0, 2, 100)\n",
    "y = 1 - 0.5 * x + eps\n",
    "print(smf.ols(formula='y ~ x', data=pd.DataFrame({'x':x, 'y':y})).fit().summary())\n",
    "sns.regplot(x=x,y=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (j) What are the confidence intervals for β0 and β1 based on the original data set, the noisier data set, and the less noisy data set? Comment on your results.\n",
    "\n",
    "- The CI widths increase monotonically with increasing noise\n",
    "- The intervals are all centered around the poulation regression coefficient; 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0   -0.563428\n",
      "1   -0.472417\n",
      "Name: x, dtype: float64\n",
      "0   -0.523437\n",
      "1   -0.484602\n",
      "Name: x, dtype: float64\n",
      "0   -0.893729\n",
      "1   -0.151275\n",
      "Name: x, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "x = np.random.randn(100)\n",
    "eps_orig = np.random.normal(0, 0.25, 100)\n",
    "eps_quiet = np.random.normal(0, 0.1, 100)\n",
    "eps_noisey = np.random.normal(0, 2, 100)\n",
    "\n",
    "y_orig = 1 - 0.5 * x + eps_orig\n",
    "y_quiet = 1 - 0.5 * x + eps_quiet\n",
    "y_noisey = 1 - 0.5 * x + eps_noisey\n",
    "\n",
    "print(smf.ols(formula='y ~ x', data=pd.DataFrame({'x':x, 'y':y_orig})).fit().conf_int(0.05).loc['x']) #0.100231\n",
    "print(smf.ols(formula='y ~ x', data=pd.DataFrame({'x':x, 'y':y_quiet})).fit().conf_int(0.05).loc['x']) #0.047068\n",
    "print(smf.ols(formula='y ~ x', data=pd.DataFrame({'x':x, 'y':y_noisey})).fit().conf_int(0.05).loc['x']) #0.80483\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 14. This problem focuses on the collinearity problem. (a) Perform the following commands in R:\n",
    "```\n",
    "> set.seed(1)\n",
    "> x1=runif(100)\n",
    "> x2=0.5*x1+rnorm(100)/10\n",
    "> y=2+2*x1+0.3*x2+rnorm(100)\n",
    "```\n",
    "#### The last line corresponds to creating a linear model in which y is a function of x1 and x2. Write out the form of the linear model. What are the regression coefficients?\n",
    "\n",
    "- `y = bo + b1 * x1 + b2 * x2 + eps`\n",
    "- where: `b0 = 2, b1 = 2, b2 = 0.3`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [],
   "source": [
    "# python equivalent\n",
    "x1 = np.random.uniform(size=100)\n",
    "x2 = 0.5 * x1 + np.random.randn(100)/10\n",
    "y = 2 + 2 * x1 + 0.3 * x2 + np.random.randn(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (b) What is the correlation between x1 and x2? Create a scatterplot displaying the relationship between the variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.84348228],\n",
       "       [0.84348228, 1.        ]])"
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x=x1, y=x2)\n",
    "np.corrcoef(x1, x2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) Using this data, fit a least squares regression to predict y using x1 and x2. Describe the results obtained. What are βˆ0, βˆ1, and βˆ2? How do these relate to the true β0, β1, and β2? Can you reject the null hypothesis H0 : β1 = 0? How about the null hypothesis H0 : β2 = 0?\n",
    "\n",
    "- The F-statistic is > 1 and the p-value for t-statistic of the x1 coefficient is statistically significant; we can reject the null hypothesis H0: β1 = β2 = 0.\n",
    "- The β^0, β^1 coefficients are close to the population paramaters; they have moderately large t-statistics with small p-values - they are statistically significant.\n",
    "- The β^2 coefficient is not close to the population paramater (relative to the smal size the population paramater); it has a small t-statistic and and a large p-value - it is not statistically significant.\n",
    "- We CAN reject H0 : β1 = 0.\n",
    "- We CANNOT reject H0 : β2 = 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.243</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.227</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   15.72</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Wed, 05 Sep 2018</td> <th>  Prob (F-statistic):</th> <td>1.20e-06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:33:28</td>     <th>  Log-Likelihood:    </th> <td> -144.38</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   101</td>      <th>  AIC:               </th> <td>   294.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    98</td>      <th>  BIC:               </th> <td>   302.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     2</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    2.2686</td> <td>    0.196</td> <td>   11.558</td> <td> 0.000</td> <td>    1.879</td> <td>    2.658</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>        <td>    0.3340</td> <td>    0.536</td> <td>    0.624</td> <td> 0.534</td> <td>   -0.729</td> <td>    1.397</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>        <td>    2.6116</td> <td>    0.854</td> <td>    3.060</td> <td> 0.003</td> <td>    0.918</td> <td>    4.305</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 2.304</td> <th>  Durbin-Watson:     </th> <td>   1.917</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.316</td> <th>  Jarque-Bera (JB):  </th> <td>   2.318</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.348</td> <th>  Prob(JB):          </th> <td>   0.314</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.742</td> <th>  Cond. No.          </th> <td>    10.9</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.243\n",
       "Model:                            OLS   Adj. R-squared:                  0.227\n",
       "Method:                 Least Squares   F-statistic:                     15.72\n",
       "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.20e-06\n",
       "Time:                        14:33:28   Log-Likelihood:                -144.38\n",
       "No. Observations:                 101   AIC:                             294.8\n",
       "Df Residuals:                      98   BIC:                             302.6\n",
       "Df Model:                           2                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      2.2686      0.196     11.558      0.000       1.879       2.658\n",
       "x1             0.3340      0.536      0.624      0.534      -0.729       1.397\n",
       "x2             2.6116      0.854      3.060      0.003       0.918       4.305\n",
       "==============================================================================\n",
       "Omnibus:                        2.304   Durbin-Watson:                   1.917\n",
       "Prob(Omnibus):                  0.316   Jarque-Bera (JB):                2.318\n",
       "Skew:                          -0.348   Prob(JB):                        0.314\n",
       "Kurtosis:                       2.742   Cond. No.                         10.9\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smf.ols(formula='y ~ x1 + x2', data=pd.DataFrame({'x1' : x1, 'x2' : x2, 'y': y})).fit().summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (d) Now fit a least squares regression to predict y using only x1. Comment on your results. Can you reject the null hypothesis H0 :β1 =0?\n",
    "\n",
    "- The coefficeint β1 has a large t-statistic and corresponding low p-value: we can reject the null hypothesis H0 :β1 =0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.214</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.206</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   26.75</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Wed, 05 Sep 2018</td> <th>  Prob (F-statistic):</th> <td>1.23e-06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:29:29</td>     <th>  Log-Likelihood:    </th> <td> -142.13</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   100</td>      <th>  AIC:               </th> <td>   288.3</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    98</td>      <th>  BIC:               </th> <td>   293.5</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    2.2382</td> <td>    0.195</td> <td>   11.504</td> <td> 0.000</td> <td>    1.852</td> <td>    2.624</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>        <td>    1.7518</td> <td>    0.339</td> <td>    5.172</td> <td> 0.000</td> <td>    1.080</td> <td>    2.424</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 2.659</td> <th>  Durbin-Watson:     </th> <td>   2.061</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.265</td> <th>  Jarque-Bera (JB):  </th> <td>   2.323</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.268</td> <th>  Prob(JB):          </th> <td>   0.313</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.479</td> <th>  Cond. No.          </th> <td>    4.21</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.214\n",
       "Model:                            OLS   Adj. R-squared:                  0.206\n",
       "Method:                 Least Squares   F-statistic:                     26.75\n",
       "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.23e-06\n",
       "Time:                        14:29:29   Log-Likelihood:                -142.13\n",
       "No. Observations:                 100   AIC:                             288.3\n",
       "Df Residuals:                      98   BIC:                             293.5\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      2.2382      0.195     11.504      0.000       1.852       2.624\n",
       "x1             1.7518      0.339      5.172      0.000       1.080       2.424\n",
       "==============================================================================\n",
       "Omnibus:                        2.659   Durbin-Watson:                   2.061\n",
       "Prob(Omnibus):                  0.265   Jarque-Bera (JB):                2.323\n",
       "Skew:                          -0.268   Prob(JB):                        0.313\n",
       "Kurtosis:                       2.479   Cond. No.                         4.21\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smf.ols(formula='y ~ x1', data = pd.DataFrame({'x1' : x1, 'y' : y})).fit().summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (e) Now fit a least squares regression to predict y using only x2. Comment on your results. Can you reject the null hypothesis H0 :β1 =0?\n",
    "\n",
    "- The coefficeint β1 has a large t-statistic and corresponding low p-value: we can reject the null hypothesis H0 :β1 =0.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.204</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.196</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   25.11</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Wed, 05 Sep 2018</td> <th>  Prob (F-statistic):</th> <td>2.40e-06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:29:51</td>     <th>  Log-Likelihood:    </th> <td> -142.79</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   100</td>      <th>  AIC:               </th> <td>   289.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    98</td>      <th>  BIC:               </th> <td>   294.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    2.3630</td> <td>    0.179</td> <td>   13.236</td> <td> 0.000</td> <td>    2.009</td> <td>    2.717</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>        <td>    2.8161</td> <td>    0.562</td> <td>    5.011</td> <td> 0.000</td> <td>    1.701</td> <td>    3.931</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 1.861</td> <th>  Durbin-Watson:     </th> <td>   1.992</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.394</td> <th>  Jarque-Bera (JB):  </th> <td>   1.842</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.319</td> <th>  Prob(JB):          </th> <td>   0.398</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.811</td> <th>  Cond. No.          </th> <td>    5.90</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.204\n",
       "Model:                            OLS   Adj. R-squared:                  0.196\n",
       "Method:                 Least Squares   F-statistic:                     25.11\n",
       "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           2.40e-06\n",
       "Time:                        14:29:51   Log-Likelihood:                -142.79\n",
       "No. Observations:                 100   AIC:                             289.6\n",
       "Df Residuals:                      98   BIC:                             294.8\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      2.3630      0.179     13.236      0.000       2.009       2.717\n",
       "x2             2.8161      0.562      5.011      0.000       1.701       3.931\n",
       "==============================================================================\n",
       "Omnibus:                        1.861   Durbin-Watson:                   1.992\n",
       "Prob(Omnibus):                  0.394   Jarque-Bera (JB):                1.842\n",
       "Skew:                          -0.319   Prob(JB):                        0.398\n",
       "Kurtosis:                       2.811   Cond. No.                         5.90\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smf.ols(formula='y ~ x2', data = pd.DataFrame({'x2' : x2, 'y' : y})).fit().summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (f) Do the results obtained in (c)–(e) contradict each other? Explain your answer.\n",
    "\n",
    "- No.\n",
    "- In the absence of eachother each predictor has a statistically significant relationsip with the indipendent variable.\n",
    "- In the presence of eachother, it is not possible to seperate the effects of the predictors as they are colinear. This increases the standard error, reducing the t-statistic and results in a p-value that is not statistically significant.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (g) Now suppose we obtain one additional observation, which was unfortunately mismeasured.\n",
    "```\n",
    "> x1=c(x1, 0.1) \n",
    "> x2=c(x2, 0.8)\n",
    "> y=c(y,6)\n",
    "```\n",
    "##### Re-fit the linear models from (c) to (e) using this new data. What effect does this new observation have on the each of the models? In each model, is this observation an outlier? A high-leverage point? Both? Explain your answers.\n",
    "\n",
    "*y ~ x1 + x2*\n",
    "- F-statistic has increased from 15.72 to 18.58\n",
    "- R-squared has increased from 0.214 to 0.273\n",
    "- The x2 coefficient is now statistically significant and the x1 coefficient is not.\n",
    "- The point is not an outlier as it has a studentized residual < 3\n",
    "- The point does have high leverage\n",
    "\n",
    "*y ~ x1*\n",
    "- F-statistic has decreased from 26.75 to 15.65\n",
    "- R-squared has decreased from 0.243 to 0.135\n",
    "- The x1 coefficient is still statistically significat\n",
    "- The point is an outlier as it has a studentized residual > 3\n",
    "- The point does not have high leverage\n",
    "\n",
    "*y ~ x2*\n",
    "- F-statistic has increased from 25.11 to 37.53\n",
    "- R-squared has increased from 0.204 to 0.273\n",
    "- The x2 coefficient is still statistically significant\n",
    "- The point is an not outlier as it has a studentized residual < 3\n",
    "- The point does have high leverage\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [],
   "source": [
    "x1 = np.append(x1, 0.1)\n",
    "x2 = np.append(x2,0.8)\n",
    "y = np.append(y,6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.273\n",
      "Model:                            OLS   Adj. R-squared:                  0.258\n",
      "Method:                 Least Squares   F-statistic:                     18.58\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.41e-07\n",
      "Time:                        14:34:28   Log-Likelihood:                -146.22\n",
      "No. Observations:                 102   AIC:                             298.4\n",
      "Df Residuals:                      99   BIC:                             306.3\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      2.2865      0.197     11.632      0.000       1.896       2.677\n",
      "x1             0.0040      0.477      0.008      0.993      -0.942       0.950\n",
      "x2             3.1908      0.737      4.328      0.000       1.728       4.654\n",
      "==============================================================================\n",
      "Omnibus:                        2.740   Durbin-Watson:                   1.910\n",
      "Prob(Omnibus):                  0.254   Jarque-Bera (JB):                2.705\n",
      "Skew:                          -0.387   Prob(JB):                        0.259\n",
      "Kurtosis:                       2.805   Cond. No.                         9.34\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# model 1\n",
    "est = smf.ols(formula='y ~ x1 + x2', data=pd.DataFrame({'x1' : x1, 'x2' : x2, 'y': y})).fit()\n",
    "\n",
    "print(est.summary())\n",
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "fig = sm.graphics.influence_plot(est,ax=ax, criterion=\"cooks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.135\n",
      "Model:                            OLS   Adj. R-squared:                  0.127\n",
      "Method:                 Least Squares   F-statistic:                     15.65\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           0.000143\n",
      "Time:                        14:38:43   Log-Likelihood:                -155.06\n",
      "No. Observations:                 102   AIC:                             314.1\n",
      "Df Residuals:                     100   BIC:                             319.4\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      2.4521      0.209     11.721      0.000       2.037       2.867\n",
      "x1             1.4545      0.368      3.955      0.000       0.725       2.184\n",
      "==============================================================================\n",
      "Omnibus:                        2.939   Durbin-Watson:                   1.723\n",
      "Prob(Omnibus):                  0.230   Jarque-Bera (JB):                2.333\n",
      "Skew:                           0.269   Prob(JB):                        0.311\n",
      "Kurtosis:                       3.510   Cond. No.                         4.16\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# model 2\n",
    "est = smf.ols(formula='y ~ x1', data=pd.DataFrame({'x1' : x1, 'x2' : x2, 'y': y})).fit()\n",
    "\n",
    "print(est.summary())\n",
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "fig = sm.graphics.influence_plot(est,ax=ax, criterion=\"cooks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.273\n",
      "Model:                            OLS   Adj. R-squared:                  0.266\n",
      "Method:                 Least Squares   F-statistic:                     37.53\n",
      "Date:                Wed, 05 Sep 2018   Prob (F-statistic):           1.79e-08\n",
      "Time:                        14:51:39   Log-Likelihood:                -146.22\n",
      "No. Observations:                 102   AIC:                             296.4\n",
      "Df Residuals:                     100   BIC:                             301.7\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      2.2872      0.174     13.132      0.000       1.942       2.633\n",
      "x2             3.1952      0.522      6.126      0.000       2.160       4.230\n",
      "==============================================================================\n",
      "Omnibus:                        2.739   Durbin-Watson:                   1.911\n",
      "Prob(Omnibus):                  0.254   Jarque-Bera (JB):                2.703\n",
      "Skew:                          -0.387   Prob(JB):                        0.259\n",
      "Kurtosis:                       2.806   Cond. No.                         5.53\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    },
    {
     "data": {
      "image/png": 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y01xRmwPnimCoZUVeZlTaFhEREZHkoIAnMkRjsr2MyfQO6txsjxvnEHr8BjLU3sCQtSyuLIpK2yIiIiKSHBTwRIbIGEN53uCGPjodhlyve9htWsDjHlrAm1acw4LSgmG3LSIiIiLJQwFPJAIzx+UNeuhlUYZ32NslGGPIH8KCKWFrOXXyWK2gKSIiIjLKKOCJROCzx1SSnuYa1LmZHhc5Xvew5uJle1ykDWGoZ2luBp8+pjLi9kREREQkOSngiUQgJz2N4yuKBh3aKnIzcDkjW1HTAkWZnkGfbwx8Y8mM6K7gKSIiIiJJQQFPJEJfPXEaOYOcX+d2OSnJGfpQTQvkeN3kegc3PDNsLWdNH8/iyuIhtiQiIiIiqUABTyRCY3PS+fxxkwkPdi5eppfiLA/hIbThdjoGvdVB2FoWlBXwrVNnDaEFEREREUklCngiw3Dh3ApOmTx20CGvNCeDMVmeQfXkGWMozc3APYi5d2FrWVheyG3nHjukjdhFREREJLXok6DIMBhj+MFH5nHihGJC4aPHNmMMZbmZlOZm4HSYI87hM8ZQmpcxqJUzXU7DhfMquO3cY0nTvDsRERGRUU0BT2SYnA4HN39sARfMLccxyG0JxmR5mVacQ7Y37aDePAu4nA4q8zMpyhh4YZVQOMzEwizuOG8hly+ZqZ47EREREWFw67yLyIAcDsM3T53FhyaN4b7XNlLd1InTMXDY87icTCnKpt0XoKHTR1tPgOw0F5UFWbiO8FhrLQ6H4ZjSAs6ePp4PTyvRXnciIiIi0k8BTySKjisv4jefPYkn1u/m+S17Wbe3BQNHDGFhaynO8vLx2WWcNbWElp4A2xvbqW7upKXbTzAcxmkMWR435XmZVOZn8qGJxYzLyRjZJyYiIiIiSUEBTyTKXE4HF8yt4IK5Fexs6uCt6gZ2tnSyr60LfzCMw2HIcLsoy8tkclEWSyaOIdMzuO0WREREREQGooAnEkMVBVlUFGTFuwwRERERGSW0KoOIiIiIiEiKUMATERERERFJEXEfojl9+nQ38FtgAuABbt60adNjcS1KREREREQkCSVCD94lQOOmTZuWAGcD98W5HhERERERkaQU9x484GHg733/NkAwjrWIiIiIiIgkLWOtjXcNAEyfPj0beAz41aZNmx440nkrV66cAOwYqbpEREREREQS1MSFCxdWHXhHIvTgMX369HLgH8DPBwp3B5ozZw4ejye2hUnMrFy5koULF8a7DBkBeq1HF73eo4te79FFr/foodc68fl8PtauXXvYY3EPeNOnTx8LPAtctmnTphfiXY+IiIiIiEiyinvAA64F8oHvT58+/ft9931s06ZN3XGsSUREREREJOnEPeBt2rTpCuCKeNchIiIiIiKS7BJhmwQRERERERGJAgU8ERERERGRFKGAJyIiIiIikiIU8ERERERERFKEAp6IiIiIiEiKUMATERERERFJEQp4IiIyJI888gjTp08/7J8NGzYcdO63vvUtLr300jhVKiIiMvrEfR88ERFJLueccw5Lliw56L7vfve7tLe3M23atP77nn/+eZ544gmOP/74kS5RRERk1FLAExGRIfF6vXi93v7bzz//PMuWLePJJ5+krq4OgJaWFm688UaOPfbYeJUpIiIyKmmIpoiIRCwYDHLHHXfwH//xH5SXl/fff/PNN3P22Wczf/78OFYnIiIy+ijgiYhIxJ555hnq6ur40pe+1H/fCy+8wOrVq/mf//mfOFYmIiIyOmmIpoiIROyBBx7gk5/8JDk5OQB0dHRwww03cOedd5Kenh7n6kREREYf9eCJiEhEamtrWbFiBeeff37/fX/84x8544wzWLx4cRwrExERGb3UgyciIhF59dVXKSkpYd68ef33vf7663i9Xh577DEAAoEAoVCIBQsWsHTpUsaPHx+vckVEREYFBTwREYnIqlWrWLRo0UH33X333cyZM6f/9i9/+Us2b97MnXfeyZgxY0a6RBERkVFHAU9ERCKyadMmPvKRjxx037hx46isrOy/nZOTg9frPeg+ERERiR3NwRMRkYg0NjaSm5sb7zJERETkAOrBExGRQdmxYwc333wz77zzDpmZmVxwwQV86lOfGvAx3/72t0eoOhEREQEFPBERGYRAIMCXvvQljjnmGB555BHq6uq45pprcLlcfPOb34x3eSIiItJHAU9ERI6qtraWuXPncuONN5KVlcXEiRM5++yzWb58ebxLExERkQNoDp6IiBxVWVkZ99xzD1lZWQBs3LiR559/nhNPPDHOlYmIiMiB1IMnIiJDcu6557J161Zmz57NF7/4xXiXIyIiIgdQD56IiAzJ7bffzu9//3t8Ph9f//rX412OiIiIHEA9eCIpylpLfUcPy3Y20NYTwFpLmsvJvJJ8phZn43To+x2JzOzZswG49dZb+cxnPsPmzZuZNm1anKsSERERUMATSSnWWpbvamTp+t1srGulrsMH1uIwpv94yFpy09OYWJDFKZPG8Ik5FbidCnsysNraWt577z3OOuus/vumTp0KQHNzc7zKEhERkUMo4ImkiGXV9fxm2RY21bXh6uudcwD0hbvefxpcxtDpC7J2bwura5p58J0qPj67jC8cNxlzwLkiB9q+fTvf+MY3eOmllygpKQFgzZo1OBwOJk+ePKK1hMOWYDiM2+nQz6yIiMghFPBEkpwvGOKeVzbw3OY9WEt/uBsMp8PQ3O3nD8u38fbOBq4+fTYTC7NjWK0kq0WLFjFjxgy+/e1vc91119HU1MQPfvADLrroIoqKimLSZocvwNs7G9hc38bO5k52NXfR0u0nEA4Rtr0/vx6XgzFZ6VTkZVKWl8H80gLmjMvDpV5pEREZpRTwRJJYe4+fqx5byeb6tv5hmJFwGMOmuja++egKrjtrLsdVxOYDuyQvt9vN/fffzy233MK///u/43Q6Of/88/nWt74V1Xastby2vY6nNtTwTk0TvkAIp+PwP9uhsMUfDNPe0862hnYAfvf2VgozvZxQWcSnj6lkkr6wEBGRUUYBTyRJdfkDXPnPlWxrGF64O1CHL8CNz73HTWfPZ35pQVSuKalj7Nix3HvvvTG5tj8Y4i8rd/Dq9lp2NHb0h7ojhbsjcTkctHb7eWbjHp7dtJd5JXmcO6uMM6eVxKJsERGRhKOAJ5Kkbn1hHdsa2qI+B6nLF+SHz6/ht589iSyvO6rXFjmcFbsa+OlrG9nZ3InDmCGHuiOx1rJ6TzOrapp4bvNerj59FoWZ3qhcW0REJFFpkoJIEnpu0x7e2FEXswUmGjp6uPPl9TG5tsh+/mCIu15ax7VLV7G7pStqPdGHchjD29X1fPmhf/H42l0xaUNERCRRKOCJJJlAKMxvlm0llmsHGmN4dXstb1XVx7AVGc12tXTylYfe4on1uwmFbczbM8bQ2u3n7lfWc/1T7xIMhWPepoiISDwo4IkkmcfW7qS2vTvm7RjgMfV2SAxsrmvlqsdWsiuGvXZH4uj78uKqx1bgC4ZGtG0REZGRoIAnkmRe2lo7Yh+K36lppLYt9mFSRo8dje1c++QqGjp64laDwxje29PMNY+vVE+eiIikHAU8kSTS1OVj/b7WEWsvEAzz5MaaEWtPUlt9ezfXPrmK5i5/vEvB9IW8Hzz9LtbGfoioiIjISFHAE0kiy6obsIzch1FjDLuaO0esPUld1lpuf2l9QvUIO4zhrap6Hnq3Ot6liIiIRI0CnkgS2d7YPuJzlna3do1oe5KaHl27kxW7Gga98qsF/KEwXYEQHf4Anf4gPcEQ4Sj3tjmM4S/vbKdGP+ciIpIitA+eSBJp7h75oW2tPfEfTifJra69mz++vX3ALyeCYUtTl4+eYAhfMERPMEwgFO5Negb2d1w7HQaPy4HH5cTjcpLjdZOVNry3sk5fkNtfXMs9FxwXs61HRERERooCnkgSiXbvxWCEQpqfJMPz41c20NrjP2x4avcFaOj00e4LEArbg7b/cAD9d/T9ba2lJxCiJ9C7AmZtezcZaS7y09MoyvRE3MP93p5mHlmzk0/Nq4zo8SIiIolCQzRFkojbMfK/si6nejQkcjubO1h+mKGZLd1+NtW3sbWhndZuP+FDwt1gGaDbH6SmtYv1ta3sbu0ikm31HMbw1IYaLbgiIiJJTwFPJIkUZ3lGvs1M74i3Kanj4dXVhA9IXCFrqWruoKq5k25/MKJQdzgGCIbC1Hf0sKm+lXZfYMjX2FrfxtvVDVGqSEREJD4U8ESSyIwxuQTDI7tvV1le5oi2J6nDHwzx5o76/t67lm4/m+pae7dJiFFPmQF8gRDbGjvY1dI5pN48p8PB4xt2x6QuERGRkaKAJ5JEji0rxOt2jlh7YWuZWJg1Yu1Janls3S6aunwA1Hb0UNXciT8Yjlqv3YCspaHTx9aGNkJDCJMrdjbS1OmLYWEiIiKxpYAnkkQy0lwcW1o4Yu3leN2cN7tsxNqT1PLe3hYcxrCvvZu9bV0x67U7EgN0+oNsrW8nNMiuPH8wxEtb98W2MBERkRhSwBNJMh+bWTpiq2kuriwm3a3FdiUyu1s6qevoYV9bd/82ByPNAF2BINsa2wf1e2OMoaqpI/aFiYiIxIgCnkiSWTJpDNPH5MS8HY/LyUXzJ8S8HUlNXf4gG/a1sqetO96l9PfkVTd3Dur8XS2DO09ERCQRKeCJJBljDJcvmYnbGbtf31DYcuG8CiYVZcesDUlty3c2sKOpY8SHZR6JAVp7/DR3+4967q6WLm2XICIiSUsBTyQJzRqXxyfnVRCy0V9R01rLzLG5/OfxU6J+bRk9fvHmJvyhkV3x9ags7GntOup8vPpOH/UdPSNUlIiISHQp4IkkqS+fMJUzp46P6nw8ay2luRncfM58HA5tcC6RWbmrgdV7mkdmtcwh8ofC7DzKEMxwOEyXPzhCFYmIiESXAp5IkjLGcN1Zc/nojOgsutK7JUI2d5+/iEJtbi7D8Ld3q4e0/9xI6h2qGcAXPHLvojGGzoACnoiIJCcFPJEkZozhO2fO4erTZ5OXnhbxvCGHw3DurDJ+8enFFGenR7lKGU3qugKsqmlKyN67/ay11HUMsPiLtTgdensUEZHkpPXPRVLAObPKOLGymP/712b+VVVPW08Ahzn6R2xjYH5pARctmMCi8qIRqFRS3fPVrYRC8a5iYAZo6wlgbe/vwKEskJWmt0cREUlOegcTSRH5mR6+e+ZcugNB/r66mnX7Wtnd0sne9m58gRAWcDkdFGZ4qMjLYEJBFufNLqMrEGJ3SydL1+0mN93NMeMLyPa64/10JAkFQ2FWN3Rj0jJwOQzWWswgvmiIB38oTENXD8WHGY7sdTvJ9abFoSoREZHhU8ATSTHpbheXLprcf7utx0+7L0goHCbd7cJl4G+rq1m1u4nnNu+lvSeA02EwQMhaXE4H47MzmDomm/PnlHPM+IL4PRlJKu/sbqKpO0h+GmR73IfvHksQBujwBSnO/OCx8TkZ+pJDRESSlgKeSIrL8aaR402j0xfgJ69t5PXttfQEQv09Kwfup+cypncp+bYu9rR18dKWWmaNy+WrJ05j7vj8eD0FSRJr9jXj6lt9Nd3txOUwR92SIJ58wcOPJS3PP0zqExERSRKaRS4yCry+vZYvPfQWz2/agy8YHvSwOYeBjbWtXPX4Cn762kZC4QTb10wSyq7mrv5/G2PwOJ1xrObofMHwYVegLc/LiEM1IiIi0aGAJ5Li/rFmJzc++x517T0Rz4cKhiyPvFfNd5euIphom1dLwth1yP5yHndiB7ywtbT7AgfdFwyHmTEmN04ViYiIDJ8CnkgKe3pDDT9/fVNUhsk5jGH5zgZ+8PS7EW/HIKnLWktte89B9xVkuEnknxQDdAcOHqY5PieDJZPGxKcgERGRKFDAE0lRe9u6+MWbm6OyCfp+DmN4s6qOB9/ZEbVrSmoIhS2BQ3p3sz1ppLsTe6r3gd99WGs5aeIY7YEnIiJJTe9iIinIWssdL66j45DhZ9HgNA4eXLWDnc0dUb+2JC9/KEz4MP11+enuhO7xtQfU7HY5+Oz8yjhWIyIiMnwKeCIp6PXtdayqaYrZ9bv8IX779raYXV+Sj9vpwHGYKZ7FWV5cCbzYSu/N06x2AAAgAElEQVQGIb2OLS1kTHZ6HKsREREZPgU8kRT05IYaHDHeg2z5zgbauv0xbUOSh8thcB1maKPDGIoy0xK2F29/KHU7HVy6aFJ8ixEREYkCBTyRFNPW42fl7saYt9PtD/LImp0xb0eSgzGG4kzvYY+Ny04nw5N4c/Es4HU5CVvLBXPLmTUuL94liYiIDJsCnkiKebOq/gOLXcSCMYbtjZqHJ+8rzz/8/nHGGMpzM4lxp/KQGWPI9riZWpTDl0+YGu9yREREokIBTyTFbGtoj/nwzP12H7LvmYxuFXmZRzyWkeZiTJY3oYZqepwOvG4n3zx1plbOFBGRlKF3NJEUU9/Rc/SToqSuwzdibUnimzk2d8A9F8dlp5OXnjjz8bxuJ1//0HQNzRQRkZSigCeSYoJR2NR88G2FCY9ge5LYjqsoIttz5BUzjTFMKMgix5sYWyecO7OU8+aUx7sMERGRqFLAE0kxrsOtVR8jTodJuHlVEj8el5O5RQNvM2CMYVJhNrlx7ckzTCnK5s7zF8WpfRERkdhRwBNJMQUZnhFrqyjTg1HCkwOcUZFz1HOMMUwsyGJMtndEvyCw1uJyGCrzM/jkvEo8rsTdn09ERCRSCngiKWZSYRbhEeoZKR9gUQ0ZnSqyPcwtyT/qecYYSnMzmVyYjcftjHlvngVy09OYPiaHgkwPnz6mMqbtiYiIxIsCnkiKOWlCMc4RGKZpraUyXwFPPuhT8yoYbFzL8riZXpxDUZYXA1EPetZa3E4HFfmZTCrMxuVwsKi8iMlF2VFtR0REJFEo4ImkmIJML/NLC2LeTprLyafmqRdEPmjJ5LGcOnnMoMOawxjK8zKZOTaXMVle0pyOYQc9a3u3ZijNy2Dm2FwK+4Yu52WkcdVpM4d1bRERkUTmincBIhJ9H50+nhU7G2K6t9ei8kIKMkduvp8kl6tOm83G2jbqhrBtR5rLSWleJuOtpanLT3O3D18wjD8UBmsHnO9p+4573E7SXU6KMr1keQ5+iwtbyxeOm0xR1sALwYiIiCQzBTyRFPThaSU8umYXG+taY3J9j8vJ5xdNism1JTVketz810nTuOnZ94b8WGMMhZkeCvu+QPAHQ7T7AnQHwr1bc2DBgjFgMKQ5HWSmucjyuI84PNlay3EVRXxitrZFkNEpHA5z0kknsXjxYn7yk5/033/ppZeyYsUKwuEwEyZM4IEHHqCwsLD/+H333cdf//pXmpubGTduHI8//jgZGRnxeAoiMkgaoimSgowxXHX6LLzu6K8SGApbLpxXwbQxuVG/tqSW06aM46IFE4a96E+ay0lhppeyvAwmFGQxqSCbSYXZTCzIZkJBFuNzM8hNTxsw3FUWZPH9s+Zq1VcZlfx+P+eddx7Nzc0H3X/FFVewfPlyrrjiCm655RZqamr43Oc+13/8z3/+M3/5y19YsmQJwWCQ5uZmbrnllpEuX0SGSAFPJEVNLMzmP46bAlH8PGut5ZjSfP7z+CnRu6iktC+fOI0L5laM2Mquh7LWUpqbwe0fP5Zsb1pcahCJp2XLlnHCCSewY8eODxx77rnnOOuss/jqV7/Kpz/9aa6++mqqqqqoqakB4Ne//jWFhYW8+OKLlJSUMHfuXB599FHa2tpG+mmIyBAo4ImksE/Pr+QLiyZHpdcibC2zxuXxo48vxDGCm6lL8rt8yQw+O3/CB1bWDPd00vT0H9hz/3fY8+vv0frWUqwNA2BDIZpfeog993+bPfd/m5bXH8WGw0Nq11rLhMJs7rnwOIqzNe9ORqennnqK4uJinnrqKZzO90d1bNy4kVAoxDnnnNN/32c+8xkAli5dSn19PXv37qWwsJBHH32U8vJy8vPzsdayZs2aEX8eIjJ4moMnkuI+f9xkCjPT+PWyrbR2+SMLe8Zw1rRxXHXabNK0ObQMkTGGr35oOiU5Gfz+7a209vT+HDY88WvCPZ0UnvcVcDhoef5BbChA3skX0PrmY/iqN1L4ia9iAz6anvkTjjQvOcefPag2LXDypLFcc/pssrzu2D5BkQR2ww03HPb+TZs2ATBt2rT++zIyMjDGUFVVRW1tLQA//vGPKSjoXZnZ4XCQl5fHvn37Ylu0iAyLevBERoFzZ5Xz6387kRMmFDOUfBcKW8rzMvnfj87j2g/PU7iTYTl/bjn3/9sJHFteRE/tTvw1Wyn4yKV4xk/CM24CeWdeRMe7rxAO+Oh873VyT7kQT8lEvBUzyP3QJ+h499X+Hr4jsdZSmOnh2g/P5caPzVe4EzmC9vZ2ALKysg663xhDT08PPT29K+CmpR08tDktLQ2/3z8yRYpIRNSDJzJKFGZ6+eG5x1Ld1MHDq6t5t6aZvW1dhMK2f3EKay1BaynK9DK1OJuPTR/PqVPGaWEKiZox2enccd6x3Lh3PX91peEsLu0/llZcCqEggdqd2KAfT+n7cz09pZMJd7cTbGnAnT/mA9e11uJxOzlxQjHfXDKTnHTNtxMZSGZmJgCdnZ0H3W+tJTMzE4+nbxXbQ8Kc3+8nPV1DnkUSmQKeSJKw1vL69jpW7G5kV3MnTV1+wlgy01yU5WYwtTiH8+eU4zlKL1tlQRZXnT4bgLYeP29XN9DQ6SMMpLscLCgtpLIgU6FOYsYYw7kLZ/JA0M83jqvkzX2dvLu7iWBbEwChrjaMKw2H5/0Pkc7MnN5jHS0HBbyQDVOWm8mHJo7hogUTyM/Q3owigzFz5kwAtmzZwqRJvdvedHV19c5dnTCBcePGAVBfX98/RDMcDtPS0sLYsWPjU7SIDIoCnkiCs9by6NqdPLZ2N1VNHTgOE7w217Xx/Oa9PPDODk6eOIbLTp4xqC0ScrxpfHj6+FiULTKgefPmUVlZyct/+jk333wzO5vaueqa32McTvLTnLS4XARCYZwOgwHCjt6f51AwQH6Gh/K8dMrzMpk3Pp8zppRo4R+RIZoxYwZOp5OnnnqKj370owA8/PDDAJxzzjkUFxdTWlrKihUrmD59OgDNzc04HA7mzJkTt7pF5OgU8EQSWEuXj5ufX8PKXY04jDlsuNvPYQztPQGeXL+bd2uauOKUmRxXUTSC1YoMXlpaGj/96U+58sorWbx4Menp6Vx22WX8pqaK//rQdK5/1nLnJxbR0u2jKxDCBgN856fwg3MW8rHTlqiHWSQKTj31VJ5++mnuu+8+SkpKuOOOO5g0aRIlJSVA7ybo9957L2VlZXR0dFBdXc0nP/lJsrOz41y5iAxEAU8kQTV29vA//1zB7ubOAYPdoYwx7G3r5vqnV3P16bM5feq4GFYpErnp06ezdOlSGhsbycrKIhQKcfvtt1NeXk53dzezCr1kZfV+SbFr1y4A5kyeoHAnEiU/+9nPuPjii7nvvvuw1lJZWcmDDz7Yf/yLX/wizc3NXHPNNbS3t1NSUsK1114bx4pFZDAU8EQSUDAU5tqlq9jd3Bnxh1lfMMSdL6+jNDedaWNyo1yhyPC0trbyta99jTvuuIPS0t6FVpYuXUpxcTGzZs0iPT2dlStXcuqppwKwYsUKioqKqKioiGfZIklt/fr1B912OBz87W9/O+L5xhiuvPJKrrzySgBWrlyJ1+uNaY0iMnzaJkEkAf3yX1vYXN827J6KnkCIu19ZT2iIG0SLxFpubi4+n49bb72VqqoqXnvtNW688UYuu+wyvF4vn/70p7nxxhtZuXIlb731FnfddRef//zn4122iIhIwlMPnkiCaer08fjaXUMaljmQjbVt/H11NZ9dMDEq1xOJlnvuuYcbbriBCy+8kIKCAi6//HIuuugiAK6++mp8Ph9f+cpXSEtL48ILL+TLX/5ynCsWERFJfAp4IgnmwVU78AVDUZtn5HQYXtyyTwFPEk55eTm/+c1vDnvM4/Fw0003cdNNN41wVSIiIslNQzRFEsyq3U1RX0RiY10bu5o7onpNEREREUk86sETiaG2Hj/bGzto7vKR5XFTkZfJ2Jz0I57vC4aoaeuKeh1OA8uqGynPz4r6tUVEREQkcSjgiUSZtZa3qupZuqGGlbsa6fIHcRhD2FocDsPccXmcMXUc580ux+U8uBN9a0MbHT1B0lzR7Vw3xsQkOIqIiIhIYlHAE4miLfVt/OiFtWxtaMfp6B1m6e4LcU56b6+vbWXN3hYeXFXF/3f8FM6eWdr/+LaeAI4YDZz2hxJ7Jc1tDe28saOOXS2d1HX0EAiFcRpDYaaHsrxMFpQWcGxZgfZAExERERmAAp5IlKzc3cjNz75HW0+gP9wdidNhaOz0cfcr62nu9nHxsZMAyEpzE7axqc99lJriwVrLE+t289zmvazd1wLWHjHA/XnFdiYXZXPK5DFcvGAiaS5n/7Euf5B3djeysa6NLn8QgPQ0J5MLszmuvIhsr3tEno+IiIhIvCngiUTBjsZ2bnmuN9wNRShs+e3bW8nzpvGxWWVMKc4mw+0kGOWUZ62lJCcjqtccrp3NHdz18npW72nCaRy9/ZsD9M45HYaqpg62N7bz4pZ9/PdJ09jb3sOLW/axsa4VXzCE65Duz1DY4nIaphblcNqUsVwwtwLPAcFQRESGr6Gjh4ferWLZzgZ2NLazp72bHn+YkA1jbe//v90OB0WZHsrzM5kxJpeLF1QypyQfR6yGrYiMYgp4IlFw3+ubaO0eWrjbLxyGXy3byhnTSkh3uxifm8HO5s6o1he0luMrCqN6zeF4YfMe7nl1A13+EE4ztDd3hzGs2dvCBb97mVxvGqW5vcH10HAHvR8qrIXN9W1srGvl4dXVfOG4yZw3uzwqz0MSQ01LJ69tr2NnSye7Wrqo7+jGH+r9kiTNaSjO9FKen0lFXiZLJo2hNC8zzhWLJL9gMMydr6zj/723k6rGDoLh8BH3bw2EoIcQ7b4AO5o6eHnrPv7vzc0UZqRxwoQibjv3WMq0CJhI1CjgiQxTdVMHq/c0DesazV0+/rlmJ/+2YCLzS/OpbuqI6lyzacU5TChIjDfPZzfu4e5X1hOIYE5g2Fqqmztp6fZjgLqOHgwwPvfovZMOY2ju8nP3y+t5Y0cd3z9rHpkeDd1MVuGw5bnNe3hm0x5W1zRjBxjeW9/hY31tK9ZafvWvLcwvzecj08dz1rTxOBJw6LJIItvd3MHVj7/Dsup6mrv9/aHuSOHucPaf29ztZ+n6Gp7btJeZ4/L475Om8W/as1Vk2NQvLjJMD6+uwg5zRKXDGF7aWgvAxQsm9i/MEg1hazlt8tiEWJxkS30bP3l1Q8ThbmtDe3+4AzBAbUcPjZ2+QV/HYQxvVzdwxT+W09btH3IdEn+vbtvHFx58nVtfWMPqmmaAQf187z/n3Zpmbn1hDV948HVe3bYvprWKpJLfrKnnhHuf5umNNbT2BIYU6o7EYQzBsGXNnma+9vdlnH3/87T16P/NIsOhgCcyTMt3NkblOhvqWtla38aY7HTOnllKeLipsc+kwmwuSoBvRMNhy10vr6MnGBryYy2wrbGdTn+QQz9OGGBvWzeB0OCva4xhe2M7Vz++MqKwKfHR6Qtw47Or+d9n3mNPa/eQh/ceyGkc7Gnt5n+feY8bn11Npy+yIdYio8HOxg4+dO9T/HlDA919W//EyrLqeo6543F++eammLUhkuoU8ESGIRgK0zrEhVWOxAA7mjoAuOzkGVEZUul2OrjilBkf2G8vHh5YtYONtW0RPXZfWzcdvg+Gu/0CoRA1rd1DuqYxhs31bdz3+saIapKRtaOxg6889C9e3hL9HreXt+zjKw/9ix2NHVG/tkiy+7/XN3LSfU+zfl/LiIwEcRhDW0+A7y5dxQW/fYlwWF/CiQxV/D/1iSSx7kCIQJTefAzQ3teL4HY6uPlj8xmb7Y34ei6HgytOmcm88QVRqW84rLW8sHnvUbePOJyuQKh/rt2RGGNo7QkMqRcPej9IPLWhhlW7hzeHUmJrW0Mb335iJfvau2PyAdMYw772br79xEq21kf2JYRIKrr1uTVc/8zqmPfaHckrW/dxxs+fxR8MjnjbIslMAU9kGDLSnLijtMRz2EJ+elr/7dK8TO4+/zhmjcslZAcfIq21FGZ4uPasOXzsgE3U4+nNqnqqmiLrHdnX3o0dxHDVcDhMfcfg5+LtFwpb/vzO9khKkxGwr62b7z25akjzLCPV2OnjuqdWsbetK+ZtiSS6255fw92vrI/6tj1D4TCG1XuaOfPnz6knT2QIFPBEhsHZt69PdK5lmFqcc9B943LSuffC4/nSCdMozvIOOC/PWovH5eCMqSX8+rMncurkcVGpKxpW7GqM6NvfYDhM+yCHwBpj6AoMfX4fwOqaJqojDKASO9Zabn1hTUTBPVL1HT5ue2HtoL5UEElV97+5iR+/sj5qc8GHw2EMa/e18NFfPq+QJzJICngiw3TihOKofBicNz6fssPsz2WM4ZKFk/jLJSdz9emzOXNaCdOKsynK8lCY6aEiP5OTJhZz6aLJ/PXSU7juI/PIOaAnMBHsinBfv/oO35A+YPQEQxG9FuGw5Z9rdw35cRJbf11VNewtSCKxek8Tf11VNeLtiiSC3c0d3Pzsmrj23B3KYQwrdjXyvSdXxbsUkaSgffBEhumi+RN4fN3uYa3GGLJhPjK9ZMBznA4H58wq45xZZRG3Ey9724a2AMp+PcHQgHPvDhUIhQmFLS7n0HoLjTFUN6sHL5Hsa+viwVU7hrVSZqScxsGDq3Zw2pSxlOQcfY9FkVRy8Z9fp8MfnS0QosmB4Q/Lt/P5hZOYWZIf73JEEpp68ESGqTDLy8LywmH14pVkZ/CR6eOjWFVi8UUYfoe6pYK1RDykaFdLp4blJZC/vLODjiitUBuJjp4AD7yzI27ti8TDrc+9x7p9LQkX7vbrDgT5wl/f1FBNkaNQwBOJgitPncn43Mi+6fe6nVx52iycUVqsJRFFsHgmwJB7RQ1AhB9Mmrr8dPm1Ulsi8AdDvLWjfkSWZD8SYwxv7ajHH8G+jSLJaE9LBz9/Y/OQRk2MNIcxbGlo4/tPr453KSIJLXU/UYqMoMJMLzd9bAHjsr1D6gVKdzv51qmzOK6iKIbVxV+ud+hzAi29PXJD4XQYXBGmyZC1BBJozslo9s+1u2jsGrmFVY6kscunuZkyalzzxDt0+OPXaz5YDgx/f7dKvXgiA1DAE4mSiYVZ3PvJ4zmuogiHwwwY9MLA1OJsbvrYAs6YNvDcu1RQljf03k3D0Dvj0lyOiIcWOU3k4VCi652apoQYIuYwhpXaI1FGgXA4zFtVDQnxezcYdZ093P/WlniXIZKwtMiKSBQVZnr50XkL2dPaxUPvVvFWdT2NnT78wTBup4OMNBeLygs5f3Y588vivwH5SJlYkMUrW/cNecid2+HAFx78EDmvyznU0vrledPITNP/EhNBpKuuxsLulsSpRSRW7n55PU1dvqQJeA4Mf165na99aHq8SxFJSPo0IxID43Mz+Oaps7jCWrr8QTr9QbxuJ5lprpSea3ck588p46+rduALDm1IjcflxDfIOVCWgzeKH6qyvIy4zvmSXq3d/ohXXY2FvW3dtHb7yU2wrUdEoumh1dVJE+7221zXyobaFmaOzYt3KSIJZ/R90hQZQcYYMj1uxmSnk+NNG5XhDiA33cNx5UOfZ+h1OxjsrLh0l5Mcr3vIbexXmf/BPQhl5L2zu4lQAs2FDIUtK3c1xrsMkZhp6/Gzoyn5tokJhi13v7w+3mWIJKTR+WlTREbcJYsm4RniEMqiTO+gvlW2QHGWd1g9cJ+YUxHxYyV6mrp9OBNoLqTTYWju8ce7DJGY+fu71cPaxzVeHMawvTH5gqnISFDAE5ERMbU4hwvnVQypdybN6SDbM/BIcmstOV43hZmeiGubW5LP5KLsiB8v0ZNIvXf7BUOJV5NItLy+ow5nkg3P3G9PW1e8SxBJSAp4IjJi/vP4KRxTmj+krSTGZqcP2DOX5nZSEcEqnfsZA5+dXxnx4yW6XEdZgXakWWtxO5Pzw6/IYGxvao93CRFr7PLToR52kQ9QwBOREeNwGH708YXMGpdHeJAf4jPTXBRmeg47Fy/N5WByYTZuZ2SrZ1prOXNqCSdOHBPR4yX6xuemJ1QvXihsGZ+bHu8yRGJmX1tPvEuImD8YYumGmniXIZJwFPBEZER53U7uPn8RH5k+ftD73JXmZJCR5uoPeWEgy+NmcmH2sLZGqMjP5H9OnRXx4yX6jhlfgNcd+WsabV63k2PGj54tTWT06QoMfiuaRGOADbWt8S5DJOEo4InIiEtzOfnuh+dy49nzmViQRegovXnGwOTCbDwuBy6noSwng8mFWUNetGU/a3t7ZW4/b2FChQmBdLeL0mEMuY220rwM0t3aUUhSVyicfAus7Ocwhs5AMN5liCQcvWuJSNycNHEMJ04o5q2qep7cWMP2hg72tXcTCodxGIO1+1fI9DChIItvnDydf1U3sHJ3Y8QrZoZsmHnjC7j+I/MozPRG9wlJVJTnZVLdlBgbjJfnafsMSW2JMyA6MuEEGtItkigU8EQkrowxnDRxDCf1zYNr7vKxbl8Lnf4gHpeTqUXZjM99fxPyTx1TyT/X7uKPK7bR3OUf9Oa81loyPS4uPnYqFy+YoE3NE9hpk8fy8tZ9uOK8b2QwHOa0yWPjWoNIrCXrCpoAYWsjHskhksoU8EQkoeRneDh50pE/VBtjuGBuBR+dMZ6H363m1e21bG1ox8AHwp61lpCFCQWZLJk0ls/OryTbmxbjZyDDddqUcVS+vY2a1vgugV6Zn8VpU8bFtQaRWHM7k3u2zthsjcQQOZQCnogkpXS3i88fN5lLF02irr2Hf+1soLqpg+5ACIsl3e2iIi+D4yuKDuoBlMRnjGHJ5LE8uHJ73F43ay1LJo3Rz42kvOIsL63dybnVgDGGT83TNjcih1LAExkBbd1+nt60hw5fEAPkprs5e0YpGWn6FRwuYwxjc9I5f055vEuRKLpk4URe2rKX2vb4LOE+LiedSxZNikvbIiOpMj+TrfVt8S4jIrnpbso0T1bkA/TpUiSGVtc08ejaXSzf1UCXL9jfGxC2lt+9vY0TKov41LxKZozNjXOlIokl3e3iaydN54Zn34OR3vjcGL520nStnimjwuyxuTy3ac+g5zMnknHZibPirkgiSe6B1yIJylrL/72xiSsfW8Gr22rp9ocOGurlMIYuf5AXt+zjskfe5o/Lt8WxWpHEtGTyWE6fMhY7ggHPWsvpU8ayRIuryChxURIvOjUhX713IoejrydFYuBnr2/i/62uxuE4+pumtZbfLd9G2Fq+ePyUEaju/Xbfrm7gtR117G7ppLk7gAHy0t2U52dyyqSxLCovTNo3fkkNV58+m5rWLjbVtsb8Z9Fay7QxuVx9+uyYtiOSSKaPzaM400NDpy/epQxJGMvHZ5fGuwyRhKSAJxJlz2/eyyNrdg4q3O3nAP7yznZmjs1lcWVx7Irr8/r2Wn7/9ja2NrTjPKTOXS2wZm8Lj6/bzbTibL60eBrHVxbFvCaRw/G4nNzx8YVc+c8VbG1oi1nIs9YytTiHO89bqGXXZdQ5eeJYHllTnVTDNEuy07l4wcR4lyGSkDREUyTKnli3m0jeIsNh+Oe6XVGv50DWWu58aR3XP/MeO5o6PhDuDuQ0hm0NHXzvyVXc++qGER0mJ3KgLK+bez95PAvKCmKyqXE4bJlfVsA9Fx5Hltcd9euLJLofnXdsUn2xEbaWM6aW4IjzXpkiiUo9eCJRtK2hnTV7myN+/MqdjdR3dFOclR7FqnpZa7n5uTW8uGXvUb+ltYA/GKLNFyAYsvzijU2sqmnijvMWUpDh4dXttazd28Keti58wRBup5OSbC9Ti3P4yPTxuJJ8XyVJPF63kzs/sYiH363mz+9sp9MXjMp1Mz0uLjl2Ep+ZX6nhyDJqFWV5mVOSx6rdTfEuZVAy0lz88NwF8S5DJGEp4IlE0RPrh9cDFwiFeWzdbv5z8dQoVfS+h9+t5sXNewccOhq2ltr2Hlp7/HQHQgD9vZGPrt3J85v3kuF24nI6GJvl/cAH4lDY8tu3t3Hq5DF85cRpSfWNsCQ+Ywz/tmACJ08aw32vb2TFrkaCofCQg5m1FpfTwbFlhVy+ZAbjc7USn8iVp87i8w+8kfCjNcLWsrCsgBxvWrxLEUlYCngiUdTaExjW440xtHYP7xqH09zl48/vbB8w3LX7Auxu6aInGMLAQcNMwxZ6gmG6/D1kuBwYY2jrDlCel0H6AXv5OR2G5i4fj7y3k+U7G7jyNC1WIdE3PjeDH557LPvaunjo3WrerKpnT1sXLmOOGPastQStZXxOBidOKOaz8ysZl6NgJ7LfObPKOHnSGF7Zui+h5+Llpafxx88tiXcZIglNAU8kiqIxPygUDkehkoM9+M4OOnoCR/zw29TlY1dLF9baD8wfDFnoCQSx9H5IDoTB4zJ0BYJsbWxnYn7WB+YtOYyhprWb7z/9Lp8pc7Mw6s9IBMblZHD5KTP5xpIZVDd1smxnAztbOqjv8BEI9f4euZ0OirM8VORlcXxFIRMKsjQUU+QIHrhkCcfc8RhNXf54l3JYFvj26bPJy1DvnchAFPBEoigaGyNnpEX/13L5rsYjfqht9wX6w92hLNATDLH/iDGGkA2zf32mUNiyo7mTacXZhx2O2eUL8tt1rZx9UjdjsqM/r1AEen8uJxRmMaEwK96liCS1jDQX/3v2fC7/x/KEG6oZtpbjK4r56skz4l2KSMLTSggiUbSwvHBYPXBhazlxQnS3SWjv6R16efj2oKb18OEOwBcMEz7kWChsDzo/GAodMSACdPpD3P7SugirFxGRkfS5hZP48NRxCRfwCjM8/O3zp8S7DJGkoIAnEkVnTh1HeX5mxI+fVpzDsWWF/z979x0f113me/zzOzPSqPdiNUtukbtcY6eH9EISAqQCu/S9wO7CUpZLErKUsCx7CXXJ3lA3exdCCekJAdZTT2kAACAASURBVJLQElLdYse23CXLkq3epWnnd/+Q7VhRG8maGZXv+/XyK9acM+c8Y9nKPPP8fs8ziRHBrmMd+EPhYY81dfedbKbyZi4Qct1hRz6ET/kfvzGGLn+QzhH2Hxpj2FzXytZp0p1NRGS2+9l7zmPt3NwhH/DFS7ovgYfff6GWZopESAmeyCQyxnDe/MIJ/U/RtZYLF86Z9Jh6AsERN8y39wVHnNkXDLuM+CredMAALb3+EWMwwKOn2WFURERiw3EcfvvhS1hVkhP3JC/dl8D/vPtclhfnxDUOkelECZ7IJHvv+gUsLsgc1/IWay1VxdncuKp80uPJSfENqridEHItvcGRZ4mF3aENV04YLl/sDYRGfc3VjZ1jhSoiIlOE4zg885FLOXd+4cgf9kWRay3ZKYk8/sG3cO78wjhEIDJ9KcETmWSJXg//dvUaFuVHluS51rKsKJt/vXo1Hmfy/0kuKcwkzTe0cUtn/8hd0k50zByOMQxbEQyGLYHQyPsPj3b20dE3NTuzycQdPHiQD3zgA6xevZpzzz2X+++/n2BwYLlud3c3t912Gxs3bmTjxo189rOfpa2tLc4Ri0ikHMfhsQ9exCcvWEpyoiem+/I2lOez+VNvVeVOZAKU4IlEQWZKIt95+3quWVZKdopv2CUuYdeSl+bjnVXlfPO6daQkJgxzpdOX6PWwICd9yOPB8PD7606wx3+5dmDPXdgd+OW60B92CbqDl3BaLIHwyAmePxSmpWfkZZwy/QSDQT74wQ+SmZnJgw8+yN13383zzz/P9773PQC++MUvsnfvXn784x/zox/9iL1793LHHXfEOWoRGa87LlvJX//+SuZn+qJazXOtJTMpga9evZqn/u4SDTMXmSCNSRCJEp/Xwz9duIy/D7s8uqOWV+ta6Q0MLIlMTfRyVnk+Vy4pweuJ/ucs584v4PVj7YMrb2PMAnOtxdqBJO/EmSd+H3YtIdfi4OJxHHzesV+DBUaZsy7T0LFjx1ixYgVf+tKXSEtLY968eWzYsIFXXnkFgGeffZYvfvGLLF26FID3ve993HnnnfEMWUQmaG5uGj+6fD6/aU3gZ5sO0NDVhzPqx4SRc60lJdHL+rJc/vtd5yqxEzlNSvBEoizB4/COqgreUVURtxjevnIuT+46wpGON8YlJHmdQcnbCRboC4Y5UXQ89bjhjbzQHD836LqEg5Ykr0Ny4tBZeCek+bzMyUg57dciU0dpaSnf+ta3Tn69e/duXn31VW6++WYAsrOzeeyxx7jgggswxvD444+zfPnyeIUrIpPgjktXctvFy/nppgP86OV97DzaQTDsjtjMazQWKEpP5pLKIr585SoldiKTRAmeyCyQ6PXw9+cu5rYnt5zcQ5HuS8AxZtCeihPJ3XBNWSwDa7rfPDDdMLBfzx9yCduRf6iUZKaQlDByAijT29VXX82+ffuYN28e733vewH48pe/zGc+8xnWr18PQFlZGT/72c/iGKWITAbHcXjP+oW8Z/1Calu7+LdnX2dfcxf1Hb009/jpD4WHre15HENWciKF6clU5KRy3bIyblw9L+bxi8x0UybBq6ys3AB8rbq6+sJ4xyIyE51ZnseHNy7i+y/uxVqLYwypiV66/W/Mr+sPDSR3Jyp1rn2jUucAzihrLB3gYEsXlQWZQ6uC1rJiTvbkvyiZMv793/+dzs5Obr/9dj72sY9x3333ceDAAebNm8fdd98NwNe+9jU+85nP8JOf/GTIBwUiMj3NzUnnnnduPPl1fyDEs3uP8vqxdjr7g4TCLhlJCeSnJ/HWpaVaySESA1MiwausrPxn4D1AT7xjEZnJblxdQXpSAt9/cQ8dvQFyU310+Qdm4bl28GgEYwxYG1Fyh7UkeB36gmHaev3kpPgGHfY4DjetrojOi5IpYdmyZQD83d/9HXfeeSe7d+/mrrvu4qmnnqK8fGD8x3e/+10uvvhiXn75ZTZs2BDPcEUkSpISvVy1rJSrlpXGOxSRWWuqdNHcD7w93kGIzAZXLinhhzeexSVnFFGSkUy6z4uFQR0wrbUYLAmOwTB6cmetxetx8DgD2+1bewNDjl++uJjiTH1qO9McO3aM3//+94MeKysrA+DAgQMkJSWdTO4ASkpKyM7O5vBhDb0XERGJlilRwauurv51ZWVlxXies2PHjihFI7GyadOmeIcQEwfa+9nX7idkLUkew5lzUklLjP8/vctz4IKMDP6YBf+9u5nazoE9EwYwDniNObmM7sSyzTezdqAzpgdLKBwGoKM3TEu7JdEz8Iw5aYmcm9o3a77fs8mOHTv46le/yne+8x1yc3OBgcTOGENrayu9vb089dRT5OfnA9DR0UFbWxv9/f36+zCD6Hs5u+j7PXvoez19xf9d5gQtX74cn8839okyJW3atIm1a9fGO4yocV3Lw9treWbvUXY2dp9sJW2t5Q9NXayfm8c7Vs5l5RQY4HrOBli+vZYP//KFgdl4b9ob5fEcb7zi2kGTFay1eBxDstfBOWVAuwWCngRy0pIoyUrhPeUJbDxzXYxejcTSypUreeihh/if//kf7rjjDlpbW/n+97/PLbfcwi233MJDDz3Efffdx+23347jOHz7299mxYoV3HrrrYP+zsj0NdN/lstg+n7PHvpeT31+v3/Egpf+DysyyfyhMJ99fDPf+ctudjd2DJoTZIzBH3J57kAjn3l0M7/ceih+gZ7C6zickZ9BdsrQIbYGSE7wkOB5I0nFWhI9DikJniFv1Afm5LmcNS+f/7h+A7nJ0RngLvGXkJDAvffeS1ZWFu9617v4xCc+wZo1a/jc5z6Hx+Ph3nvvpaSkhA9/+MN84AMfoKCggHvvvVfJnYiISBRN2wqeyFRkreXzv9nKpsPNeMaY6h1yXe59YS/JCR6uWVYWowiHZxmY11eRk0Z+IERzj5/eQBB/yMU9PjIhOcGDweBai2tdDGZQtc9ai3EMaYlerlpawleuWhOnVyOxVFhYyHe+852TX2/atInExIFZVnl5eXz961+PV2giIiKz0pRJ8Kqrqw8BG8c6T2Qqe2LnEV6ubcJjIqxQWMuPX9rHZZXF+LzxmxGXn+Yj7Fq8noHRCanH9wiGXJfg8eYrPq/n5CDbsGvp8gfpDYROVvySvB4ykhJI8DisKs6Nx8sQERERmfWmTIInMhM8vac+8uTuuPa+AL/eVsOta+dHKaqxrSzOJis5ke5AaNDjXsfBO8xyuhPDarOSE4ccs8DGirxohSoiIiIio9BGCJFJcqCli9ca2sf9PMcY/nygMQoRRS45wcvGivxJudbKoizOyM+clGuJiIiIyPiogicySXY0tA/MDTCj770bzrGuvihEND5vXzmXp/c2MKTLyjiEXcvFi4omLyiZkfqDYbbWt7CnsZNA2MUxDoXpPjbMzScvLSne4YmIiExrSvBEJkkgHB4yYiBSwfBpZFWTpLIgk6ribLbWtU74dZRmp3DlkpJJjkxmglDY5cldR3h2bwO7GzvoDYRJ8LyxiMS1FguUZqZwVkU+N6+qIFfJnoiIyLhpiabIJMlJHmhUMhGpvvg1WDnVFy6roiQrZULPzUhK4AuXVeH16MeKDPbCwUbe9/Pn+cYfd7K9oZ1g2A5K7mBgqbLHGBo6+/j1thre9dPn+L/PVxN23ThFLSIiMj3pnZjIJDlnfgE5qUObjkRi2ZysSY5mYjKSE/n6Nesoz0kdmHcXodxUH1++chUL8zOiGJ1MN9ZavvHH1/n8U1up7+gbc3TICcYYgmGXX2w9xEd+9RINnb1RjlRERGTmUIInMkl8Xg8by8ffqMS1cF2c5+CdqjAjme9efyZvXVZGdnLiyTl4b2atJSXRy1sWzuGb161jeVF2jCOVqcxay5d+9xqPvV7HOD4rGMQxhv0tXXzy4Vepa++Z3ABFRERmKO3BE5lEN66q4E/7j9EfDEd0vrWWFUXZVJXkRDmy8Un1JfDJC5fyD+ct5pEdtfzlQCPNPX76g2F8XoeMpATOnJvHTasqSPUlxDtcmYLueb6aP+47enJ24ulo7O7njie38P0bzyIxjvMiRUREpgMleCKTqCInjX86fwlf/+POkwPCR2KtpTgrhS9eXhWj6MYvwePwzqoK3llVEe9QZBp5rb6VR18/PCnJ3Qk1bT189y+7+dRblk3aNUVERGYiLdEUmWSXVBZzx6UrKEhPImxHSPIMVJXk8B/Xn0l2qi+2AYpEkbWW7z23h9Akd4Z1jOGp6np2H+uY1OuKiIjMNKrgiUTBufMLOasin9/urueZvQ3Ud/QRDLskJ3hZMieTd6ycS2WBhoHLzLOzpY/qxh48zuR/fui6ll+/VsPtl66c9GuLiIjMFErwRKLE4zhctbSUq5aWjnlufzBMU3cfYdeSk+ojI2li3ThF4u25+m48TvT2yb1U00x/MExSgvbiiYiIDEcJnkgcvVbfysPbD/NKbTNtfUEwFp/XQ1VRNpdWFnF5ZQlOhK3lRaaCw51+SJjYLMVIdPQHePVwM+fOL4zaPURERKYzJXgicWCt5Rt/2snjO+twGEjgfN7jS9osbKtvY/ORFh57vY6vXrWGzBRV9GTqa+8L0NwfIiOKjVW9jsPuxg4leCIiIiNQkxWROLj7Dzt5/PU3krvheIzD7mMdfOrRVyMeuyAST7uOtuOO3jx2Uhzr6o/+TURERKYpJXgiMfbSoSYe31UXUQt5YwwHWrr4z+erYxCZyOnpDYaZxMkIIwq6k9uhU0REZCbREk2RGHtsZx2ecbwLNsbw/KEm/iHs4vWc/mcy/lCYP+07SltfEI8D83LSWVOag4nFO3OZ0VISPNgY5F4J2pcqIiIyIiV4IjHU3uvn1cMt435ec3c/j+2s4/oVcyd874OtXTywrZYXDjbR1ufHMQZrLa6FBXnpnL+ggBuqKkhJ1I8FmZglc7KIwnSEIQrTk6J/ExERkWlK7+REYmhvcxe9gRAJ46zEeRzD4baeCd/3kR213PP8HkLhgQ1SJ5aHGmPwGDjU2s2Bli5+t7uBu65axbzc9AnfS2avrORE8pK8BKJ4j5DrslgzJEVEREakPXgiMdR/GnuUQhPcd/TY64f5zl92n0zuRuIYw9GuPj77+GYaOnsndC+R0gxfVK+fmZTIurK8qN5DRERkOlOCJxJDxZnJE96jlOobf8G9tcfPPc9Xwzju2dLj52vP7hj3vUQAzitOIxzFVpobyvM05FxERGQUSvBEYmh+bjoL88a//NEYuHJxybif9/Oth/BPYMTC9vp29jd3jvt5Iktzk6ksyIrKtR3H8I6V5VG5toiIyEyhBE8khowxnDe/EHecZbxVJTnMzU4d13Nc1/LcgWMT7o75q201E3qezG7GGD56zhl4JrnTpWstl1cWs7hQ++9ERERGowRPJMZuWl1BcUZKxOcneh1uWlUx7vscauvicPvEG7PsaVIFTyamqiSH65aXjfuDjNGUZ6fyj+ctnrTriYiIzFRK8ERiLCXRy5eurCIvbexmFF6P4aNnV7J+7vibSjR290c0TH0kvYHQhJ8r8tFzKrlw4ZxJSfIK0pL4ylWrSfRq752IiMhYlOCJxMGCvAy+/bYzOXtePokeB/vmN8EGls3J4l8uq+Ka5WUTukdaYgITbLwJQIJHb6Zl4owx3HnZSq5dXjbhzrGutSzITecbb1tHSdb4liiLiIjMVpqDJxInczKS+fKVq2nv9fOrbTU09fQTdiHN5+WKxcUsKTy9RhXl2WmkJnoJjjEeYSQFaSMPk+7sC/Cb3fX0BEIYA4XpyVx2RhHecc73k5nNGMM/XbCUDXPzuOev1dS19Ua0N89aiy/Bw9uWl/HBjYvwxGJ6uoiIyAyhBE8kBgKhMI/sOMxzBxtp7vFjgML0JC5eVMTli4v50FlnTPo905MSWFeWywuHmsb93LBrecvCOUMe317fxkM7anmpppm+QOhkA5ewa/mvl/dxVkU+t66eR2FG8mnHLzPH2fMKOHNuHk/uOsIzexuobuykNxAi4ZQPBFxrsUBpZgpnVRRw86pyckf5kEFERESGpwRPJMpeqW3m3//wOs1v2hPX0NnHproW7t9yiDsvW8mi/IxJv/dbl5bw3IHGcXc0LMpI5solxYMe+9XWQ/zgxb2Ej6/7PLU7p8cxtPT4eWzHYZ470MjnL1vJqpKc038BMmN4PQ7XLi/j2uVl9AfDbK1vYU9jF4FwGMc4FKT52FieT56SOhERkdOiBE8kijYdbuaLv91GXzA8bMMTj3Go7+jlfz++ma9fu455uWmTev8N5fmsn5vHpsPNJxOyE/v9RhyfYODG1RWDlsU9vL2We1/YO3Sv4JufagztfQH+5altfO2tq1l8mstMZWZKSvCwsbyAjeUF8Q5FRERkxtHGBpEosdZyz/N76Itg0Hh7X4DvPbd70mMwxnDXVauoyEmjtq2Hncfa2d7QzmsN7ew42k5tWw99wVO6ZRp415r5XL9i7smHOvr8/ODFsZO7U3X7g3zzT5P/emayQChMtz84rj9nERERkTdTBU8kSl441MT+li48EbYQ3FbfyuH2HsomsVugtZb7XtlPXUcvYAm7ELYWA4TCltZeP629frKSEzl/fgHvXFXB1UtLB13j51sODdpvF6nqpg621rVO2muZiXY0tPHw9sNsPtJKtz9I2FoSPQ6lmSmcN7+QG1aVk5ygH9MiIiISOb1zEImSP+w7GnFyBwONSh7bUcdHz62ctBj+47lqHnytBscY5man4VpLU3c/3YEQYXcg0fN6HDKTEyjLTuWqJSWDnm+t5bmDjeNO7gA8xvDQ9lqu1Sq8IbYeaeUHL+xlZ2PHkGUUgZDLgZZu9jV38cC2Gs5fUMgnzl+iDqUiIiISESV4IlHS2R8c1/nGGLr843vOaP5y4BgPba8dtPfPMYbC9GQKhzn/zweO8autNdy4uuLkY809fmrbe/FOcJDZwdZuKFBHzVM9u6eBb/xp58C+zFHOc4yhJxDiiZ111LR287Vr1pCSmBCzOEVERGR60kfCIlEykYpLwiRWaZ7YeYTxpGUe4/D03oZBe8C6/UHCE5yjB0S0/3A2eaW2ma//cWfEfy6utQRCYV6saeKjv36Z1p7+KEcoIiIi050qeCJRMj8njRfGsbwxbF2WFE7OqISjnb1srmsZ9/P2NHXy6uEW1s/NAyA5wTuh5ZknJHr1GdIJYdflm3/ahT80dnLXFwzR2O2nsz9AMGwBy97mLl6pbeKKxaVcsbiYixcV4Yxz/IWIiIjMfHr3JRIlN64qJzkx8s9QijNSubyyZOwTI/BSbTOhCVTePMawvaH95Nd5qT4K0ic+l6xIA89P+l11PfWdPaOeEwq77G/porqxk7ZeP2HX4piB5ZoeY2jrDbLlSCtfefo13vPT53j+wDGstfQFQzR199PZH8B11YVTRERkNlMFTyRK0pMSuWTRHB7ZUTfmoHHXWq5eWjJpFRl/yJ1w5e3UCpPX43BWeR6/2VU/7uuErcvllcXQ3TChOGaa31c34DEjf6YWDIXZ19JNf3DkjqX9oTDtfQGykxOp6+jh7x54kYK0JDyOQyDs4jWGNJ+XtWW5vG1ZGSs1bF5ERGTWUQVPJIo+fv5SzplfgDvKbDPXWq5dXsata+ZN2n3TfQmj3nM0SV7PoK9vqKpgIrliaWYqFy8qmlAMM01DZy9b60ceGeFay/7W0ZM7AAO09vo51NrN60c7qO/o47X6Ntp6/Scb4XT7Q/xp3zE+/vCrfORXL/L6KRVZERERmfmU4IlEkeMY7rpyFR/auIiK7FTCpyyfcy0sLsjkkxcu5Z8uWHpae93e7IIFhaT7xt9x0Ri4aNGcQY+V56RxzbKycSWMHsfw3vULtEfsuAMt3YO+9292tLMvolmDFmjp8dPWF8Aen2doLTR09g0ZkO6YgT2Vtz25mRcONk7CqxAREZHpQEs0RaLMGMOta+dzy5p5bKprYX9zN46BpXOyWDYnKyr3TEn0srEin2f2jG95ZFVxDuU5aUMe/8fzFtPjD/H7PfWDxi4MJ8Hj8OGzFnFJZfG47j2TtfcGRpyJaK2lvT8YUXLXFwxjGRiGfqq+YJjO/iCZyYlDntftD/Fvz+7g3966hiWF0fn7JiIiIlOHEjyRGDHGsK4sj3VleTG5342rynn+QCP9EXRtBHAcuH5F2bDHjDF87pLlLMpP57fV9exr6hp2X+GqkmxuqKpgY0X+acU+02SlJBK2dth5gu19QfpDo8/EAwiGXcLWDpsoGqCl1z9sggcDSd5//KWa771zwwSiFxERkelECZ7IDLUwL4N/OG8x3/rzLoIRdNT8m3ULOHf+cCPQBxhjuGFVBe+sKuelmib+fKCRnkAIxxiykhO4dnkZ83LSJ/MlzBjzc9PwOsOncB39gTGTOwuE3IElmSMV+roDoYFlmyOcsPNYBzsa2lhelB1x3CIiIjL9KMETmcGuWFJCms/LD1/cS01bz5DllWHrUpSewi1rKrh2+dyIrmmMYWNFARsrCqIR8iChsMuTu47wYk3TyWQyO8XHlYuLWVeWO6n7FqOpKCOFlcXZvFbfNuTYaHvzTj0nfHyP3UiJomvtiFVCGNiT99D2WiV4IiIiM5wSPJEYCoZdnt3bQEtvgGSvw8WLisgYYVndZDl3fiHnzCvguQON/G5PPW09ASyWjKREzl9QwOWVkzeeYbJYa7nvlf38ZvcRjnX2D1kO+uzeBs7Iz+A9a+dz3oKRq45TyWWVRWw50jJkVEIk0wpDrnu8emfwjvC9snbg12g21bWOWuUTERGR6U8JnkgMBMMu9zy/m78caKK5eyBhsdbyw5f2sX5uHh87+wzy06M3FNwYw3kLCqdFMmSt5V+f3s7TexoGBnwPk9B4jGF/cxd3/X47H+vzR1x9jKfLK0v4f68e5FhX36DHPRHkWieStwSPYaTTjWHMeYs9/hB9wTApifrRLyIiMlNpTIJIlAXDLp985FUe3n6Ytl7/yTfhxhj6g2H+vO8oH3/4FRo6e+Mc6dTwgxf3RtStEwYqW/c8v4eXa5piENnpcRzDJy9cQlLC4DmDSV7PkBEHb2YZSN7e3D3zzdcZ688s5LoRN90RERGR6UkJnkiUffvPu9jR0Dbim29jDMe6+rnrd9tjHNnU0x8M88TOI0OWMY4mGHb5xdZD0QtqEq0ry+NTFy4j5ZQkLz/Nh2eEfXUwkNwlehySEzwjVu+stWQljT33MMHjkKbqnYiIyIymBE8kivqDYZ4/2BhRNWrnsQ5eq2+NQVRT1wPbDtHZHxj387YeaeNQa3cUIpp8Fy2aw5evWs3SwkwslgSPh/RhkrMTVbu8VB+F6UmjXtPjcchPG3uJb1FGMolez5jniYiIyPSlBE8kip7cVUd7X2QJi2Pgqd31UY5oanuppiWiZHg4j++sm+RoomdVSQ7ffccGvveODVy0aA4Lc9MGlu4ag3EMSQkeijKSWTYni7KsVArSk0dsjGKtJSc5ccz9d9Zazp0X/c6nIiIiEl9aqyMSRa29/nElLJ39wShGM/V1+MdfvTthIpW/eFtSmMXtl2Zx+6Urefz1w3zjT7sAhizF9Hkc0n1eut7098PagW6oJZkpY94rOdHLTasqJilyERERmapUwROJooRRmmIMJ9Grf5Kz1VuXlfHZi5aTnDD8Esr81KRBU85dICslkXm5aWOOPXCt5dz5BVEfySEiIiLxp3eTIlF04YI5RFrAC7uWqlk+hDoraWIJiLWWzAk+dyq5fHEx33vHBq5YXExmcgLuKd01M5ISKEzzAZDm81KRnUpFdtqYFWJrLUsLs/j0hcuiGruIiIhMDVqiKRJF5TlpVJXksLVucPOU7kCQjr4gFkhwDHlpSRRmJHH10tL4BDpFbCzPY/soHUdH4jiG65aXRSmq2KrISeMzFy3HHwrzyPZaatp76QuGSPA4ZPgS8IfC/GZX/aDkbySutVSV5PCvV60adzVZREREpicleCJR9ncbF/HPj22myx+kJxDiSEcvPYHQyX1WFmjs9rMoLy3iat9M9Y6qcn61rWbcexGrSnIozUqNUlTx4fN6uHH1vGGPnTOvgIe3H2bzkRaCIXfIEs2w67IoP4MLFhRyy5p5o45hEBERkZlFCZ5IlJ1RkMldV63itie2sK2+DWvtG8mdtXg9DkUZyexr7ub2J7fw1avXjLmnaqbyeT1cu6yM/351f8RVPJ/Xw61rhk+EZqoN5flsKM+nsauPX26toaGzj/5gCK/XIcOXyKWVRawvy521f49ERERmMyV4IjGwvCib4oxkyrJSaO8LEHbBcSxpiQnkpyWdTGZeqmnm4R2HuX7F3DhHHD/vPXMBLT1+nthVN2aSl+h1+MfzFrO2NDdG0U0tBenJ/P15i+MdhoiIiEwhSvBEYmBrXSvVTV3kpPjISfGNeJ5jDH/Ye3RWJ3jGGD71lqWUZCXzxM4j1HX04DGDlxhaYGlhJu9ZN58N5fnxCVRERERkClKCJxIDfz3UxBhzqE/a3dhBfzBM0gjt8mcDYwy3rJnPTavm8fSeBp472EhvIITjGHKSE3nrslKWz/KOoyIiIiLDUYInEgOBcDjic8OuxR+a3QneCY5juGxxMZctLo53KCIiIiLTglqricRATooPG0FbexiYd5bm02cvIiIiIjJ+SvBEYuD6FWUkJw5O2sKupTcQoi8YGjTTbP3cPLW1FxEREZEJUZlAJAbSkxK5cGEhT+48QiDscrSzj05/kFDYBQa6QWYmJVKRk8oNVeVxjlZEREREpiuVCURi5J/OX8r83HT2NHXR3hfAdS2OMTjGEApbWnr8OMZhTnpSvEMVERERkWlKFTyRGPE4hmDYpSg9iba+AL3B8MCgc8eQnpRAQVoSgVCYrz37OnddtTre4U4aay0Nnb30BkLkpiaRlZw47Dkv1Tazp7EDC1Rkp3H+gkIN6hYREREZJyV4JxlQtgAAIABJREFUIjHy7N6j1LZ1k5+WRH5aEmFrsRY8xnBqHvNKbTNN3X3kpyXHL9hJ0NUf4KebD/Loq0foeqEJayHR62FlcRaXVxZzxeISAB7YVsNTu+vZ39KF5/gfRMh1mZudysWLivjb9QuU6ImIiIhESAmeSIy8UNM0qHmKxxgYJm8Jhl2e2l3Pe9YtiGF0k+twew+fe2Iz9e29dPeFSE9/I1ndXt/Otro2XqltIdnr4cndR3CMOZncAXgdh/qOPu57ZT/7W7r40hWrlOSJiIiIREB78ERixB+KbBaeMSbic6cifyjM7U9soaGjb8SkzHEMv9h6iO+/uAdnlMTNMYbnDjTyf/+6J1rhioiIiMwoSvBEYiQjaejes+G41pKT4otyNNHz8PZaDrf3jHqOBdp6A7T3BQmNMQTeMYZn9jQQPN5xVERERERGpgRPJEauXlKCZexh59kpiVy9tDQGEUXHH/cfG7UqB9DRF6A/FCbsujR2+8e8Zkuvn0d31E5WiCIiIiIzlhI8kRhZOieLNaW5WDtykuday6VnFOPzemIY2eRxXUtNa/eY5/UGwxgGlqP2R7Ac1TGG2vbeSYhQREREZGZTgicSQ1+8vIolhVmE3aFJXth1ufSMYv7X2WcMe6y5u5+WHv+oCWK8udYyzEsbhh3md2M8Y+q+bBEREZEpQ100RWIo1ZfAd96+nid3HuHZvUdp6OrFYJiXl8Y1S0vZWJ4/qDFJd3+QH7+yj78ebKKhqw8DlGamcN78At535kISp1ilz+txyExOoHmMZZc+rwfLQBNRrzP250zWWvJSp+++RBEREZFYUYInEmMex+Ga5WVcs7xs1PPae/184uFXqG3rwRiD93ji19DZx8+3HGLrkTa++bb1JCVMrSTvzLl5PPF63ahjDXKSfRzt7CMQcsmLoKFMSmICb18xdzLDFBEREZmRtERTZIr66jM7TiZ3b+YYQ3VjB9/40844RDa6m1ZVkOAd/UeLMZCZnEiKz0Oqb/TPmay1bCzPIy0pYTLDFBEREZmRlOCJTEH1Hb1sPtI6ahXMGMMLh5ro8QdjGNnYSrNS+cjZlWN20qwqzuaqJSW4o2yus9ayMD+DT79l2WSHKSIiIjIjKcETmYJ+u7uecARz33r8QZ7eczQGEY3P21bM5XMXL6c8Jw2XgeYrx7r7OdjaRW1bD17HcNcVVdzzjo1cvbSUlETPoETPWovP63DBwjl85/ozp9wyVBEREZGpSnvwRGLsQEsXD75Wy7GuPhI8DqtLcrhuedmghilB1x21endCpGMG4uGiM4p4y6I5fOS+p3ixKYA/GMLn8ZCT6iMYdvn4w69yaWURn7xgKR89p5IHttXQ0NmHiyU/NYkbquaSmazGKiIiIiLjoQRPJEastXz3ud08sv3woMdfONTEA6/VcOelVSwrygKgOCOFsGvxOKMnea61VOSkRi3m0/WzzQfZfKyX3PR0ct/UBTMQdnl0Rx1d/hB3XraSv1m/IE5RioiIiMwcWqIpEiP/8+oBHnqtdsjjjjE0d/v5l6e20tkXAOCKxcXkpyWNec15OWmcOTdv0mOdDB19fn666cCo53gcwx/2NvBiTVOMohIRERGZ2ZTgicRA2HV5cveRURuPtPb6uX/LQWBgntzbVpSN2oAEY7hhVXlESznj4edbDtEfHHv5qMdxeHxnXQwiEhEREZn5tERTJAZeONREQ2cvHuPgWktLj59ufwiMJcnroSAtGY9j2FzXevI571o7n75gmF9tqyEYCp9M5Ky1JCV4ed+ZC7hySWm8XtKY9jV3RZx87m3qinI0A39uz+w9ym93H6G2vQfXhcL0JC5cWMh1y+eS4NHnXSIiIjL9KcETiYHmbj8Ohu5AkJrWHgKnJGztNkBTj5/ijGRKslIGPe+DGxdx/fIyfr61hrr2HgDm56Zx06oKMpITY/46xiPojlJ9fJPQOM6diB5/kM89sYXX6lvxOG8kcq29fl4/2s4jO+r4ylWrmJudFtU4RERERKJNCZ5IDCzMT8cfDnOopZuQawdVtowxuK7lSEcfSwpCQ56bm5bEx86tjGW4kyJnHAlobkr0klVrLbc9uYUdDW2DkrsTHGOo7+jlc49v4d4bNmqguoiIiExrWpMkEgPLi7JxjCE4ymw711r6Q2PPvpsurlhSQtgd+/VYazmrIj9qcTx/sInX6tvGXC7a0NnLz7ceilocIiIiIrGgBE8kRrKTEzHDVJAALJCS6KUvGKYvOLSKNx2tL8tleVE2drRGMUBOqo+bVlVELY4nd9WN2tzmBGMMzx1oHDNeERERkalMCZ5IjGQl+yjPTiHR63AihbAABjKSEliYm44/7NIXQefJ6cAYw5euqKI4PXHYbqDWWrJTEvnC5VWk+qK3LLKuozfic+s7e/HPoCqqiIiIzD7agycSI7kpPrKTfWQl+2jr9dMXCuNgyE5JJMnrAQYSvYwoJjuxlpOaxP9eX8Qek82f9x2jtqMXay15qUmcXZHPrWsqyEtLjm4Q4yjIWcCO5wkiIiIiU4wSPJEYecuiOWw50orHMeSk+IY9Z2N5Pt4otOu31vKXA438rrqepu5+fF4PVcXZ3LSqIupNRRI9Dn+7diF/s24B/aEwYdeSmuiN2fy+ORnJHImwileYlnQy2RYRERGZjpTgicTI1UtLeHpPAzsahm/4kZ+WxPvOXDDp9w2FXe74zRZeqmketBdtR0MbT+46wr9cXsXK4uxJv++bGWNIToj9j5xLzyji5ZqmYTtonspay9nzCqbs4HgRERGRSGgPnkiMeByH/3PtWi6pLCY5wYtrLdZaHMewpjSHu69dS0H65C9X/Nafdw1J7mAg4WrvC/Cl322jNzAzGrsM55IzilhcmDlm85Tc1CRuiWKzFxEREZFYUAVPJIZ8Xg+3XbKCHn+QP+47RtB1WV+WS0lWalTu1xsI8af9R0ftItnS4+cXWw7xvg0LoxJDvBlj+NerVvPZx7ewr7lzyJ+FtZa8tCS+eHkV2anDL50VERERmS6U4InEQaovgauXlU7qNU9UqE5dYvj76nq6/aFREzzHGLbVt05qLFNNTmoS97xzAw/vqOUPe49S29aLay2F6QPNXm5aVUHGOAazi4iIiExVSvBEpjFrLU/sPMJvq4+wv7kbY2BRXjpXLC7hiiUl9AbDEc2A848ygD0a+oIhuv0hMpIS8MWoqUmCx+GGqgpuqKoYNhkWERERmQmU4IlMY9/68y4e3XF4UBK3vaGdbQ3t7G/pYkN5HmHXHbPBSEFaUrRDBeDVw838alsNW4+00h9ySUv0sq40l1vXzqOyIDMmMYASOxEREZm5lOCJxFhDRy8v1DSRlODhooVFJCVMrIL13IFjPLK9dtjkzQEe2FbL+rJcFuZncLCle8TrhF2XKxcXTyiG8Xhq1xG+9eddBI9XC73G0B8M89zBRjYfaeXOy1ayriyXZ/ce5XfV9TR09uF1DIsLM3lnVTnzc9OjHqOIiIjIdKcETyRGOnoDfPXZ7WyqayUcdrHAvX/dw6WVRXzsnMXjrio9sfPIqJU5xwyc8771C/jy77efTKxO5VrLeQvmsKE8f7wvZ1y6+gN877ndw8YAA81g7v7j68zLTeevBxvxnvK6atp6eGbvUT52zhlcu3xuVOMUERERme40JkEkBoJhl08++gov1zTjuhZjDI4xdPtD/HpbLV//w+vjvmYkw7vrOno5Z34hd162kgV56YSP7z1zrSXNl8DbVpTxhctXRn3J4i+21tAzxiiGzXWtPP563aDk7oRQ2OV7z1ezvb4tWiGKiIiIzAiq4InEwCM7ajnQ0j1swxPHGJ7e28Dfrl8wrjl4Xs/YSZnHGTjn7HkFnFWRz9Yjrexp6iIl0cOlZxRPeHnoeO1v7ho1iXStpaM/SMYoUwpCYcuD22tZEYOh7CIiIiLTlSp4IjHw4jCDxk8VDLk8trNuXNdcWpg16nFrLcvnvHGOMYbVpbnctLqCa5aVxSy5Axh9xDi09wWOL98c/cztDargiYiIiIxGCZ5IDPQHwqMeN8cbjozHjavKR03S0nwJ3Ly6YlzXjJaKnNSTowmGE7YWay3JCaMvKgiEYjvOQURERGS6UYInEgMFGaMvvQy7lrKs1HFdc252Gp+9aBmpid5ByZNrLelJXm67ZMW4lnxG082rKkZNRlMSvCR6HXJTR1mjCeTHaJyDiIiIyHSlPXgiMXDdslL+sO/oiJ+o5KcncdWSknFf9/wFc1hdksMvttawv7kLgMqCDG5cVUFK4tT5552V4uNDZ53BPc9V4w5TyctJ8VGUnkSnf+RGLNZazp1XEM0wRURERKa9qfMOUGQGqyrJ4caqcn619dCQZiPJCR4+ft5ivJ7h0z9rLX850Mgrh1twrWVlUTaXnlGEc7yBSnpSIh/cuCjqr+F0Xb9iLrkpiTz42mFeq28jEA6TnOBldWkOt66ZRzDs8i9PbcMfGrpU1VpLRU4at6yZF4fIRURERKYPJXgiMfKRcyo5oyCDJ3bWUdvag8cxLC/K4oaqchaP0DClubuf25/cyp6mjpNNWp7YeZifbT7AF69YRUVOWixfwmk7f8Eczl8wh9ZePx19AXJTfWQkJZ48/vnLVvKDF/ZwoLUbjzFYa/E4Dmvm5nL7xSti2hjmdBxo6eKFQ00AnFWRryHtIiIiEjNK8ERi6OJFRVy8qCiic621fOG329h7SnIH4DEOde293PmbrfzklrNHHXY+VeWk+MhJGbrf7qyKfDaW5/HCoSb2NHXidQwXLSqiODMlDlGO37HOPv7t2R1sb2g/uS/yxy/vY2VRNp+9aDlzxtiLKSIiInK6pt87Q5FZYtPhFnYcbR9xflxtWw+/2VUf46iizxjD2fMKeO+ZC3n3ugXTJrnr6A3wyUde5bX6tsEdQy28Vt/GJx95lfZef/wCFBERkVlBCZ7IFPVybQueUWbneRyjuXBTyH2v7qehs3fE40c7e7nv1f0xjEhERERmIyV4IlPUKLndKSdFPQyJ0Mu1zSNWW2GgMvlSTXMMIxIREZHZSAmeyBR1Vnk+o431DluXVcU5MYtHRmatpbU3MOZ5rb0BXHfkge8iIiIip0sJnsgUtao0h5VFWYP3c51ifk46l1cWxzgqGY4xhpTEsTt8piZ6T463EBEREYkGJXgiU9iXLl/F8qJswqckeWHXMi8njS9fuUrJwhSypjR3zHNWl6riKiIiItEV8ZgEM7C5JM1a23X86xuAucAT1trdUYpPZEaz1rK5roXfVTfQEwhRlJHMDVXlFKQPtNPPTEnk29evZ9PhFv56qAlrLatLczlvfsGo+73iaUtdC4++XsfRrj5SvF4K3E5WrnJJGGGQ+0xx8+pyXjzURE8gNOzxFJ+Xm1ZVxDYoERERmXUiSvCMMSuAx4H/B9xhjLkb+AQQBu4yxlxtrX02emGKzDzWWr7y++08s7fh5Jw7ay2Pv17HP5y3mKuWlgIDy//Wzc1j3dy8eIYbkR+8sIf7txwa1Pulo7OTA79+iW9ct45UX0LcYou2+bkZ3HHpCv7PH3fS1NWP53h11bWWvLQkPnXBUhblZ8Q5ShEREZnpIq3g/TvQCPzMGJMK/C/gJ8CHj//3K8BZUYlQZIb62eaDg5I7GEjmAmGX7/xlN6tKcqbNDDiAl2ua+NmWQ0PWfTvGsLepk2/+eRd3XLoyLrHFypnl+fzs3efx6I5adjV2ArC4IIPrls+d8RVMERERmRoiTfDOBm6y1u40xrwdSAJ+aK11jTH/xUB1T0TG4dk9g5O7UwVCYX617RAfP39pjKOauMderxtxU68xhhcPNdMbCJGSGPHK8GkpwePwjqqKeIchIiIis1SkHym7wImNJVcBrdbaF49/nQN0T3ZgIjOZtZaGrr4RjxtjONIx8vGpqL5z9Hg7+gIcatWPChEREZFoivSj9BeAzxhjcoGbgJ8DGGNWAf8CPBed8ERmruQEL/7QyLPTUiNouz+VJCWMHq/jGLKSZ+4ePBEREZGpINIE7xMMLMO8H9gDfOH4408CHcCnJz0ykRnMGMPaslye2dMw7HHXWi5cMCfGUU2ctZaFeelsPdKKz+thuIWnS+dkUpyZGvPY4s11Lb/fU8+LNc2EXJd5OWncUFVOelJivEMTERGRGSiiBM9au8cYUwkUAI32jcnLlwM7rbXhaAUoMlO9/8yFbKtvpbnbP+hx11o2lOdx/oLCOEU2Pg9tr+WR7YfZ09TB/pYuHAx5aUkUpCWdPMfrONy6piJ+QcZJZ1+Azzy+ierGDjxmYEX88wcaeWTHYW67ZAUbyvPjHKGIiIjMNBG3dbMDjp2S3GGt3a7kTmRi5mQk883r1nHhwkLSk7w4xlCUkczNqyv4ylWrp+ycu1P9dNMBvvvnXRxu7yE5wUtlXga+BA/1nb0c6eglGHYpTkvgc5cs57z506ciOVm+8sx29jZ2nkzuYKB62+0P8dVnttPjD8YxOhEREZmJRqzgGWO6ADvS8Tex1trMyQlJZPYozkzl85dV4bqWQNjF53WmRWIH4A+F+fVrNYPiTfB6WJCbTiAUBmP43js24K/fz7qFsy+5O9Lew+a61hG/n519QX6x9RDv37AoxpGJiIjITDbaEs27iTzBE5HT4DiGJGd6NVV5Zm8Dbb2BYUc9JHo9uNZyoLWb0mmSsE62F2uaCIfdERM8YwwH1VVUREREJtmICZ619gsxjENEppkef2jEOX4wMOC8Pzh7V3Aneb1YGLbhzAleR8PPRUREZHJFPHH4+IiEDYCPN96zGCAFOMta+9HJD09Epqoz5+Zx7wt7sCPV+Q2sK8ulvaYlpnFFqrs/yP1bD7H7aDsuUFmQwa2r55GRPDndLS8+o4gfvLSXrv7h99mFrctZarIiIiIikyyiBM8Ycz3wUyCJN5ZtmlN+v2fyQxORqaw8J421pbm8Uts8ZBmitZbVpbksyEtnU02cAhxFTVs3n31sM41dfSdj33aklaf3NPDVq9ewKD/jtO+RlODhqiUl3L/54JBKp7WWxQWZXHJG0WnfR0RERORUka4PuhPYDKwBfsxAsrcM+AwQAP4pKtGJyJR2x6UrWDoni/ApZTzXWhYXZnLnJSvjGNnovvHHnTR19w9KTI0xtPUG+Pofdk7afT60cRG3rJlHmi8B11qstTiOYX15Hv/+1rU4zuzcnygiIiLRE+kSzcXAjdbarcaYZ4HPWWt3AbuMMdnAHcBT0QpSRKam9KREvvv2M/nroSZerm3GAhvm5nF2Rf6U7QZ6oLmL7Q3tI+6N29PUwbYjrVSV5Jz2vYwxfPisM/ibdQt4ek8D/lCIDeX5lGbNvoHvIiIiEhuRJnhBoOv47/cAlcaYBGttEHgG0P47kShxXcve5k6wsCg/Y8pVfYwxnDOvgHPmFcQ7lIhUN3VirR0xAXWMYW9z56QkeCckJXh467LSSbueiIiIyEgiTfA2A28H/gjsYmD/3XnAs8DcqEQmIjywtYaHttdQ294DQFlWKtevKOeGVeVxjmz6mpeTNtAYZoQ82bWW0kxV2ERERGR6ijTB+yrwhDGmwFp7szHml8DPjDFPAdcCv49ahCKz1EPba7nnr9UYINEzMCPvWFc///n8bgzwTiV5E7K4MJPFhZnsbeoc9nh5dhobyvNiHJWIiIjI5IioyYq19rfA2byxz+7DwJPAmcBjwMeiEp3ILGWt5cHXaoctMhljeHhHLXbE+QQylr8/t5L0pIQhj6cmevnYuZVTdv+giIiIyFginoNnrX0ZePn473uB90crKJHZrq69h4Mt3fi8w38Gc6itm4OtXczPPf12/rPR8qJs/uPtZ3L/5oPsauzA2oE5eDetmse83LR4hyciIiIyYZHOwfubsc6x1v736YcjIjBQpTNm5AqdsQaPiXTKiQynNCuVz1y0PN5hiIiIiEyqSCt4/zXKsX6gG1CCJzJJSjJTWJCXweG2nmGPz89LY262GoGIiIiIyGCRlgCyh/lVBrwLOAZcH5XoRKY5ay1/PdjIfz5fzQ9f3EtDR29EzzPGcGNVOQyzF8wYwztXlmufmIiIiIgMEVEFz1rbMczDHcD9xpgU4NvAuskMTGS6a+/1c9uTW9h5rAOPMVhr+eXWQ1y3vIyPnbt4zOdftbQUY+BXW2vY19yFBRblpfOOqnKuXqqZaiIiIiIyVMRNVkZRAyybhOuIzChf/v12dh9P7mCg8hZ2LQ9sq6E0M5XrVpSNeY0rl5RyxeISGrv7sRYK05NUuRMRERGREUXaZCVnmIcdoBi4Hdg/mUGJTHcHWrrYcqR12GTMMYandh+JKMGDgcSwMD15skMUERERkRko0gpeMzBSSz8/cMPkhCMyM2w90grWDruHDqChK7K9eCIiIiIi4xFpgvd+hiZ4FugE/jDCHj2RWasoIxnXgmeE1ZTpiUOHbIuIiIiInK5Im6z8V5TjEJlRNpbnMzcnlSPtQyt11lrWl+fFISoRERERmelGTPCMMZ8cz4Wstd+YaBCVlZUOcA9QxcCSzw9WV1fvm+j1ROLNGMPHzq7krqdfozcQPvm4ay1nFGTw4Y1nxDE6EREREZmpRqvgff1NX1vAAGGgiYFZeD4gALQCE07wgLcBSdXV1WdVVlZuBO4GrjuN64nE3YaKfL779g38cushDrZ24/M4rCvL5YZVFfi8nniHJyIiIiIz0IgJnrX25BB0Y8xlwH3AR4FHrLXu8ccvAX7EQCfN03Eu8BRAdXX1i5WVlZqpJzNCRU4a/3zR8pjc62BrFw9vP0xbb4C8VB/vrCqnODMlJveW2cday4c+9CEuvPBC3v3udw85ftttt5GTk8OnP/3pOEQnIiIyexlrR2qOecpJxuwBvmqt/ckwx94NfMVaWz7RICorK38I/Lq6uvo3x7+uBeZXV1eH3nzupk2bKoCDE72XyEz0+5oOHtrXxol/ztZavI7hhspcLihNj29wMuO4rstPfvITnnnmGf72b/+Wyy+/fNDxBx98kAceeIBrrrmGW265JU5RioiIzArz1q5de+jUByLtolnEwLLM4fQCWacRFAx04zz1XagzXHJ3quXLl+Pz+U7zthIvmzZtYu3atfEOY0bY39zFM6+8SFra0ETud0dDvOuiJRSmR7eSZ63FWnCcoW1D9b2eWQ4fPsw///M/c+zYMTIyMpg7d+7J729LSwsf/ehHOXToEHPmzGHOnDn63s9w+vc9u+j7PXvoez31+f1+duzYMewxZ9hHh3oe+KIxpujUB40xC4C7gKdPK8KB618FcHwP3vbTvJ7IrPHw9lpcd/hKfCAU5oFttVG7d2dfgK89s4Mb7/sTV//wGd5///P8bNMBIlkZINPTli1bmD9/Pg8++CDp6YM/VNizZw+JiYk8+uijFBcXxylCERGR2S3SCt4/AH8CDhljtjMw+LwAWM7Acsl/OM04HgIurays/CsDjVzed5rXE5k1WvsCIx4zxtDS64/KfXsDQT7+8CvUtHZjjg90r2nr4fsv7qG+s49Pv2VZVO47Fte1tPb68Xk9pCdp3uBku/baa7n22muHPXbWWWeRmJhIYWFhjKMSERGREyKdg7fXGFPJQOJ1NgMdNHcD/wn8t7X2tN5BVldXu8D/Op1riMxWuSmJIx6z1pKbEp2lzPdvPjQouTvBYxye2n2EG6rKKc9Ji8q9h2Ot5X82HeC3u+s53NFLosdhxZws3r9hIcuLsmMWh4iIiEg8RbpEE2ttl7X2O9bam621l1trb7XW/uB0kzsROT1vWzF32L1vAIleDzdUTbj/0ai2HmkdktydYC38Znd9VO47knuer+bHL+2jobMPrzG4rmVbfRu3P7mF6saOmMYiIiIiEi+jDTp/FPjU8erdo2Ncx1prNbdOJA7m56bz4Y1n8P0X95zci2etJcHr4WPnVlKQnjzmNQ60dLG5roWcFB8XLCjE44z92U9whH1/J4RdN7IXMAk6+wI8sbMOZ5iEs9sf4qebDvKlK1fFLB4RERGReBltiWY6cGIacwYDg85FZAq6YVU5Z87N5aHttbT3BchJ8XFDVTlFY8zB6+wL8KXfvcaW+lawEHYtczKS+cCGhVxaOXqTjPm5aext6hz2WNi1rCnJmfDrGa+nquvpD4ZHrCjuaGiPWSwiIiIi8TTaoPO3nPL7C2MSjcgMdKyrl+rGLkozU5ifF72ZdOU5aXzigqURn2+t5fbfbOH1hvaTiZHHMTR193P3H3eSl5rE6tKRk7SbVlfw3MFGevyDJ5pYa1k2J4uNFfkTeyETMFIX0RPCNnbVRBEREZF4irSLJsaYLCDVWnvEGOMD/hGYCzxorf1DtAIUma7ae/3827M7eLm2hSPtPXT6Q6T5vJxdns/Na+Zx5ZKSuMa36XAL2xva8QxT9QqGXX79Ws2oCV55dhp3XraSe56r5kBLF44xOI5hbWked1y6YsRqWjRcuLCQn7yyj1B4+ESvsiAzZrGIiIiIxFNECZ4x5nzgcQa6Zn4W+D7wbqAG+Igx5lZr7S+jFqXINOO6ls88tpm9TR3sb+mmxx/EGENrKMxT1fUcaOnmUGs3HzmnMm4xbqprGTa5O2F/c9eY11hXlsePbs5lc10rRzv7WFmSTVlW6mSGGZE5GSmcv6CQp6sbhuzDS/A4UWs0M1uFXZffVddz5ee/S5Nj2FzXwprS3EHn3H///XGKTkREZHaLtIJ3F/BX4BvGmGzgZuDr1trPGmP+D3AboARP5Lin9zSwt7mDph7/yeTuhGDYpbGnn1+/VsM1y0opjUNCBAOJj7X2ZGzWWjr7g7T1BXCx9IdCdPuDpPlGnyVnjGFtWe6o58TCZ9+yHJ/Hw5/2H6Ozf2A24LzcdP5m3QLWz82Lc3QzR21bN5//zVZq2rrxmIFmPI/uOMzaslz+9arVcY5OREREIk3w1gLXWmuPGWPedfx5Pz1+7HHg76MRnMh0teVIKx5AqUdnAAAgAElEQVTj0NkfHLJU0QB9gRCua3l0Rx0fPTc+VbwrF5fw8y2HCLsWay0HW7vp6A9iGOio5P3/7N13eFxnmf7x73umqFdbki3ZslzlXlMcpxCHFAIJISFA6MuGXcrujwRIQsnSYSkJsLAsu7CwwMKyhLBASCGF9O64d7nb6r1rJM3MeX9/SDayrTKSZjQj+f5cF1esmTPnPJILc8/7nucxhvf9+kU+f/VKVk9gw5Sx8noc7ti4jI9eXMqOyiYyk/0snZE1oVtFpzprLV96bCcVLV2nwh2AYwxbyhu595m9XKORgyIiInEV6Ry8LuDktOQ3AdXW2p39X88GmqJdmMhkdnLKgGuHaP5h+la+ukPhiSvqDDOzUnnT0lm4rqW6LUBroJeTUcjvcZiRmUproJdvPrmbUHjyNClJ9Xu5aG4+y2ZmK9xF2bOHaobcuusYw4tH6+jsjd+faREREYk84D0NfNkY8yngZvq3YxpjbgS+Bjwem/JEJqeLS/IJu5Ykr+es5yyQ7vcRdi0LYthVMxIfu3QxH9qwiJBrcRwHj2PITvGzMC8Tv6fvn4fqtgCPlU3s0HJJTHtr2/A4Q4fmjp4gB1u6J7AiEREROVOkWzT/H31bMr8IPAN8uf/xfwEOAndGuzCRyeyikjzWzZ5GZ2+Qtu4gtn8lzwLJXg/5GckUZaXyxjh30jTG8LbVc/j5a4fpCbkYA2e+ffc4hhPNnXGpTxKLz2NOu2/zTNZCmu/sDzVERERk4kS0gmetrbXWXmmtTbHWXm2tPTk1eG3/4w0xrFFk0jHG8I3r1vLOtXNZlJeJYwzGQHaKn7nT0piTk8aXrlmF1xPpInrsOMaQkezDGSTcQd8205wU/4TXJYnnTUtn4Rnmz+zc3HQWZCcN+byIiIjEXsRz8ACMMZcArwdmAv8MLDfGbLPWVseiOJHJzOdx+MTly/jYpUuobe/m2cM1dAVDzJuWwcYFMxLm/jBjDBcWT+eRvRWD1pSZ7OOGFbPjUJkkmsKsVK5cNJNH91WeNY7CGHjbmjmYQF2cqhMRERGIfA5eCnAfcB3QBmTQNwvv48BKY8zl1tp9MatSZBLzehyKslN517p58S5lSB++aBH7als42thxWsjzehw+uH4hKb5RfRYkU9hdG5eRm+LniQPVVLV1YegbJH/zyjm8YUkRW7Yo4ImIiMRTpO/avglcCFwKvAr09j/+HuDPwNeBt0S9OhGZEOnJPn7w1gv59ZajbKlopDsUpjg7jRtXFLNqEoxIkIljjOHvLlrEBy5YQHlLJ0leh5mZqQmzIi0iInKuizTg3QLcZa190Rhz6g76/rl4XwH+MybViciESfF5uXX9Qm5lYbxLkUnA63GYOy2+XWBFRETkbJF2eEgDhtp3EwCSo1OOiIiIiIiIjFWkAe8V4LaBq3f0dXwH+FtgU1SrEhERERERkVGLdIvmXcCzwH7gCfrC3UeNMYuB84ArYlOeiIiIiIiIRCrSOXhbgAuAzcCNQJi+pioNwMXW2pdjVqHIFGCtZVd1M88frqU10BPvckRERERkioq497m1di/wzsGeM8b4rLXBqFUlMoU8eaCKX245ypGGdozpa2ZyUUked12xTOMHRERERCSqRlzBM8Ys7t+KOdTzbwU0A09kEM8druGbT+2hvLkTn8fB6zgEwy7PHqrhUw9uxVo78klERERERCI0ZMAzxsw0xrwC7AH2GGNeMcbkDXh+lTHmaeB+YFrsSxWZfO7bdpywe3aIM8awq7qZF4/Wx6EqOVdYa+nsCRIKu/EuRURERCbIcPvDvgWsBP4Z6AA+CdwLvN8Y80Xgs/3H/TvwhRjWKDIptXX3sr++dcjnHWN44Wgtl8zLn8CqEtfhhnYe3ldBV2+IvLRk3rZqDpkp/niXNSnVtQf4782HeeV4Ay2BXpK8HlYV5vDWlcWsmz093uWJiIhIDA0X8K4Avmyt/QaAMWYP8CtjzHeA2+nrpnmbtXZ/7MsUmXxCriXsWjzGDHmMqy2ahF2Xrz6xi2cP13LyJ2Wt5fe7TvDe8+Zxy5q5ca1vsjnR3MGdf9pCQ+dfm/l0B8O8eryBLRWN3HbpEt64dFYcKxQREZFYGu4evOn0zb876TkgE/gQ8AFr7TUKdyJDy0nxU5KTPuTzYdeytCB7AitKTN95di/PHKphYAw2xtAdDPOTVw7x5IGquNU2Gd3z9N7Twt1AobDl314sUydXERGRKWy4gOcDugZ83dn/309Za38Ru5JEpgZjDNcuKRxylW5WTirXJcBKSm1bgB1VTTR0dE/4tdsCvTxzqBZniFVOay0P7K446/HuYJi69gBdvaFYlzip7KttYU9N87DHBHpD/GbbsYkpSERERCbcWHq0a+adSITevrqE5q5eHthdTk8ojDEG11rmTcvgc1evxOuJaBRlTGyvbOLnmw6xo6qZsGvxez2sLsrhQxctYmFe5oTU8MSBagK9Icww21j31rbS0RMkPcnH4YY2fvHaEbZUNNLREyLV72FNUS7vXjuPZTO1Gvrq8QYMQ/8soe+Dh8ONHRNUkYiIiEy0sQQ8tWMTiZAxhg9fXMo71pTw0N4KAsEwSwuyuXhu3rChJta2VzbxuT9vp6s3hGMMjsdgrWVbRROfemgL91y/jvnTYx/ygmF3xJ9D2LqEXMue6hbu/vM22rv7Rm56HUNvyOXV4w3sqm7h81ev5PxiNRARERGRc9tIAe+Txpja/l+ffBd2lzHmzN7u1lp7W3RLE5k6clKTeO958+Ndxik/33RoyO2NrYEgP9t0mK++cU3M61g3exo/fuXgsGtORZmpZCb5+MwL+0+FuzN19Yb4wQv7+fk7L45rcI6382dP4xebjwy7995ay7zcoe8NFRERkcltuIB3ArjgjMeOA+sHOdYCCngicRJ2XR7dV8WLx+roDobJS0/mhuWzWTrj7G2LNW0BdlQ1D3nfG8CWika6ekOk+seyyB+5hXmZrJyZza7qlkGfd63l0nn57K5pZn9dG84w2e14UyfPH6njsvkFMao28S2bmcOygiz21Q49niPZ5+GWNSUTV5SIiIhMqCHfvVlrSyawDhEZo/buXu54cAtltW14BiSgJw5Uc/PKYj56yeLTjq9u7SLsWhzP0GmpoydIW3cw5gEP4M6Ny7jjwS3UtgVOW30Lu5bzi6dz64ULuX/H8WHDHYDHMRyobx1XwLPW8vKxeh7dX0l9Rw9ej8PyGVncsqaErJSkMZ93In3y8mXc9eAWmrrO7pTp9Th85OJSslMnx/ciIiIioxf7d28i57ieUJjfbDvKy8caaO8JMj0ticvm5fOW5cVgwOOMr9HKPz+5m4N1p4c76NtTff/OE5Tkpp8292xWTuqIzV0yk/1kpfjGVVekirLT+NHN6/n1tqNsLm8k0BtmenoSr5tXwA0rZuNxHPweB2vtsNsvrbX4x9G0JhR2+dyj23n5aP1pP8s91c08tLeSOzcu5bL5M8Z8/okyd1o637/pfP77tSO8eqKB1kAvfo/DysIcbl41R/cpioiITHEKeCIx1NkT5PY/buZQQ9upLZHHmjr4055yPvvwNuZOSyc/PYVL5uXzgQsW4BtlQKlq7WJzeeOQwccBHiurOi3g5aWnsKYol+2VTUOe97zZ00jxTdw/D5kpfj68oXTI568uncl/bTpEdzA85DFej8NViwrHXMM9z+zhlWP1ZwdlY+jqDfGtp/ZQmJXKggloPjNeMzNT+dTrlxN2XTp6QiT7PCR5PfEuS0RERCZA/Hq0i5wD/vWF/RweEO66giEONrTTFghS39HNieZOKlu7+N+tR/nkA5sJhkfXpPb5I3WEh3iNay2utRyob8N1T5/F98H1C8hIHnyFblpaEh9cv3BUdcSStZamrl6WFmQO+fOx1rJ+Th4zs1LHdI3mrh6eO1xLOOxS2drJwfp2Dta3cay5g86evmY0gWCY+7cfH/P3EQ8exyErxa9wJyIicg7RCp5IjPSEwrx8rOG01bXKlq5TgcwYQ2sgyMxMcIxhV3Uzv9p8hA9cuCDia5y5cGetpbGrh8auXrqDISyQ7vfyx90nuHFF8alalhRk863r1vKzTYfZWtFEVzBIRpKf82dP44MXLWR2dtq4v//xstby35sP89SBGo40dmCtS017N2FrKcxKJbk/tIStZU1RLndftWLM1/rTnnIqWzqpauvGdQeMbuiF5s5eslP9lOSksaW8MRrfmoiIiEjMKOCJxEhDZw+Nnd2nVk8CwTAdvaHTRgL0hN1T95Y5xvDisbpRBbwrFszgp68cJNS/QlfR2kVDZw9n3o33r8/v50hDB5/cuPRUeFmUn8XXr1t7qqFKdop/QpqqRMJay5ce28Gzh2txjMHvdQCHObnptHf30hroZVlJHrOy07hy0UwuKhnfXMHtlc1UtgYAzjqPMdDS1UO5gWSfd8R7AUVERETiach3c8aYtaM5kbV26/jLEZk60vxe/AO2xgWCZ8+dc8zpgaKhs3tU15iensyGufk8e6iGtu7gIOGub8ulYwwP7a1gfUkel8zLP+359CQf6UkT01AlUg/uqeCZwzV4zNm7yDOS/WQkQ5LPw+evWRWV6+2tacHCkPP4jDE0B3pJ9joKdyIiIpLQhvu4fjN98+0GYwZ5Tjd5iAyQneJnVWEOO6uaAU4LeydlnnEfXLp/9EHr069fTkuglz/sPHEqoFj6QsnMjGRyUvxA3xiBR/ZVnBXwEtETB6oHDXcD7alpYW9Ny6Cz/kajvLmT7lAYj2POuldxoLBrR+w+KiIiIhJvw71b2Qhc0f+/W4Fe4Af9jy8GLgG+DrQB74ltmSKT07vWzj21RTPN7yXF99eQ5/E4FKSnnPraWjumFvZJXg/fueE8VhbmkJOaRGaKn7z0ZJYUZFGQkXLasVX92xATmbWWI43tIx5nMGw60TDu651o6QQgNzVpyE+0oC+gL8lP/A6aIiIicm4bbtD5syd/bYz5GvBNa+0XzzjsZWNMO3An8L8xqVBkEju/eDr/dNUKfvHaYfbXtZGXnkx5cxepfg+zslJJHhD4Zmam8t51c8d0HWMMRVkpdPaevQ10oNGOYYiXidwEmZvqx1ooykrFde1ZA8It4Pf03f+Xf0ZgFhEREUk0kXZUWAt8eYjndgCfj045IlPPhrn5bJibT1ltKxWtXTR2dvPUoVr21bYQDLuk+Dysmz2d2y5dTG5a8pivs6Iwl7K6tiHvEbPWsmLm+LYzTgRjDHNy0thf1zbsca6FNUW5477e4vws5uamU9HaRXFOGnkZydR3dBMM93XTzEjyMj01GQxcXTr2OXsiIiIiEyHSgLcfeD/w+MAHjTEO8A/0hTwRGUZpQRalBVkAvH3NXI41dtDQ2c386RnkpCaN+/y3rC7hibIq2rqDgz6fmezjljUl477ORNi4cAZ7alrPGjo+UGl+JquiEPCMMVxVWshPXj2AxzikeD0UnzEmwlrLqsJcFuZpi6aIiIgktkj3a/0T8HZjzG5jzL3GmE8bY74DlNF3j94dMatQZIoqmZbOecXToxLuAHLTkvjCNauYlpaEa/96N5lrLTmpfu6+auWk2WJ404o5rJ8z/bTvY6CMZB//75LFUbveu9fN5cpFhYQHabJiraU4N53PjWPOnoiIiMhEiWgFz1r7iDHmUuAu+hqq5ACNwNPA16y1e2NXoohEanVRLv/znkt5YPcJ9ta2Yi2U5mVy48riU81eJgPHMXztTWv4z5cP8vThGqpaAzimbzTCuqJpfOCC+SzKz4ra9Ywx3H3lCtbNyuWJsmrK6ttwrWVGRgoXz83nXWtLSB1Dh1MRERGRiRbxVGNr7SvATTGsRUSiwOdxuHlVSbzLGDeP4/Dhi0v54PqF7KpuoSsYYnF+JtPGcZ/icIwxXLtkFtcumYW1FtdaPM7kaEojIiIiclLEAc8YkwX8P+D1wAzgZuA6YIe19tHYlCciiaaqtYvf7ThOU6AXv8fhgtnTeP2imTEbAO71OKyZNf577UbDGINHA81FRERkEooo4BljSoDngHTgeeAyIAlYCXzVGPNma+2fY1SjiCSAUNjlG0/t5tnDtYT7O0wCPLa/kv/ecoRPbVzOsknQpVNERERkKot0/9H3gGqgGHgr/WOqrLXvBv6AxiSIjElXb4hDDW1UtnRih2gokii+8vhOnjxQjeva01brvI5DZUsXn3t0G0cjGFAuIiIiIrET6RbNK4D3WGs7jDFndmr4EfDH6JYlMrXVtgX48SsHePV4Iy2BHoyBRXlZvGFxITevmhOz7Y5jtbu6meeO1OEMU1drIMgvtxzl81evnMDKRERERGSgSANeLzBUf/VcoCc65YhMfbVtAT7+wGvUtncDnOpueaypgx++WEZ1W4CPXbYkniWe5YE95Qwzku6UV4/X09UbItUf8e29IiIiIhJFkW7RfJi+e+0WDnjMGmNygc8Aj0W9MpEp6vsv7DsV7s7kGMMfdpWzo7JpgqsaXm3b4PWeqTXQS3lLZ4yrEREREZGhRBrwPknfKt0eYGf/Yz8FDgNZwJ3RL01k6mnu6mFL+fDhzTHwwO7yCaooMp5Ilu8ADPg9Gi0gIiIiEi8RvROz1tYD6+gbk7AT+At94e6LwGprbVWsChSZSnZXtxAIhkY8rrotMAHVRG5hXmZETWBmZ6dRnJM2ARWJiIiIyGBGM+i8m76GKj8a+LgxJt0Yc5m19rloFycy1SR5PUTSLHO4ZibxcMvqEh7cXU5v2B3yGGstl8wt0HBwERERkTiK6J2YMSZsjPmpMSZpkKeXAU9HtyyRqWnNrFzyM4bqV9THWsuSGZkTVFFkctOSuPXChUN297TWUpqfxQfXL5jgykRERERkoEg/ajfAu4GX+oeei8gY+DwOGxcU4A6zjJfi93LL6rkTWFVkbl49h7uuWMa8aemErcVai2st6Uk+rllSxL/ceP6pjqAiIiIiEh+j6WX+buDTwFZjzPustQ/FqCaRKe3DGxZR3tLJK8fr8Zi/fsZirSXZ5+XOjcuYnp4cxwqHdnVpIVctmsnOqmYON7aT4vOyccEMkn0KdiIiIiKJYDQBrxy4hP7B5saYbwL/BAx9U46InMXjOHz9TWt5vKyaJw5UUdMWwO91WDYjm3esLmFWdmI3KTHGsKool1VFufEuRURERETOMKppxNbaHuBvjDFbgXuBC4CvxaIwkanMGMM1iwu5ZnFhvEsRERERkSlkTO3urLXfB64GVgL/F9WKREREREREZEwiDXjPAm0DH7DWPgOcDxyLbkkiIiIiIiIyFhFt0bTWbhzi8RPGmIuAmVGtSkREREREREZtyIBnjPk+cG9/iPv+COexwG1RrUxERERERERGZbgVvOuBnwIngDfTF+KGooAnIiIiIiISZ0MGPGvt3AG/LpmQakRERERERGTMImqyYox5yhizeIjnVhpjtke3LBERERERERmt4e7Be/OA5y8H3myMWTrIoVcC86NfmoiMRXVrF7/Zfow91S0EQmHS/B7WFE3jnWtKyE5Nind5IiIiIhJDw92DdwXwsf5fW+Abwxw73HMiMkF+ufkIv9xymFDIxRhz6vFD9e08tLeCj2xYxHXLZsexQhERERGJpeEC3l3AdwEDHAFuAradcUwYaLXWtsemPBGJ1O+2H+dnmw5h4LRwR//X3cEw339+P+lJPi5fMCM+RYqIiIhITA3XZKUXOA5gjJkLVFlrgxNVmIhELhR2uX/HMcwIx4Vdy6+3HOV18wvOCoEiIiIiMvlFOuj8uDFmsTHmWiCNs5uzWGvtV6JencgU0tUb4qG9FbR195Lq8/LGJUVRuyfukX2V1LZ343FGDm0HGtp4rbyRC4qnR+XaIiIiIpI4Igp4xphbgR/3f9kBuGccYgEFPJFBhMIu331uL88frqO9J4hjDNZafrXlCBfOyeOOy5eSluQb1zXK6lojCncAHmPYWdWkgCciIiIyBUUU8IDPAn8AbrXWtsawHpEpJey6fOqhrWytaMQxBqd/W6Qxhp6Qy7OHaqhs6eL7N11Ass8z9utYO8q6Rne8iIiIiEwOEc3BAwqBHyjciYzOb7cfPxXuBmOM4VBDGz9++cC4rpOXnoyNMOSFXUtRVtq4riciIiIiiSnSgLcFWBXLQkSmomcP1wwZ7k4yxvDSsXpC4TN3Pkfu5pXFEa8AFmQm84bFhWO+loiIiIgkrki3aH4a+F9jjBd4Feg68wBr7dZoFiYy2bV3BznYENkEkYqWTg43tlOanzWma2WlJHHZ/AIe2181bKAMW5erFhXi9UT62Y6IiIiITCaRBrzn+v97D30NVQYy/Y+N/QYikSko6Lq4rh1xBQ/AMYau3vC4rnfH5cto7OzltRMNgzZccV3LlaWF3HrhgnFdR0REREQSV6QBb2NMqxCZgjKTfGSn+mkLjDw+MtnnoSR3fPfFeT0O37xuLb/dfoynDlVTVtdO2HXxezwsm5nN1Ytmct2yWZp/JyIiIjKFRToH79mTv+7fpjkdaLDWhmJVmMhk5/U4rC/O4/GyqhGPXTsrl5wozMRzHMMta+dyy9q51Hd0094dJDvVT26U5u2JiIiISGKL+EYcY8x6Y8xf6JuDVwGsNMb8yhjz1ZhVJzLJ3bK2hIwRZtz5PQ63rJkb9WvnpSczb3qGwp2IiIjIOSSigGeMuQI4uYp3N3333QHsBj5tjPlEDGoTmfTm5KRz91UryErxnzXGwFpLss/DHRuXsrooN04VioiIiMhUEuk9eN8E7rPWvq9/i+Y9ANbabxhjUoC/B74ToxpFJrXzi6fzy3ddzG+3H+e18gbae0Kk+DysKcrlljUlUdmaKSIiIiICkQe85fSt3MHZXTSfBu6KWkUiU1Bako8PXLiAD6iDpYiIiIjEUKT34NUBS4d4bkn/8yIiIiIiIhJHka7g/QL4ijGmFfhz/2MeY8yVwBeB/4pBbSIiIiIiIjIKkQa8LwGzgZ/y1y2aL9PXbOX3wOejX5qIiIiIiIiMRqRz8MLAB4wx3wQuB3KBVuAFa+2O2JUnIiIiIiIikYp0BQ8Aa+1+YH+MahEREREREZFxGDLgGWP+NJoTWWvfPP5yREREREREZKyGW8HL5PSRCBsAl75772qAacD6/nM8GKsCRaRvKHpbd5CuYIh0v4+MZF+8SxIRERGRBDRkwLPWXn7y18aYu4Bs4Fprbc2Ax3PoC3cVMaxR5JzVEwrzux3HefZQLYca2gm6YfxeD6V5mVyxcAY3LC/G54l02omIiIiITHWR3oN3B3DrwHAHYK1tNsZ8A/hl/zEiEiWVLZ189pFtnGjuxDEGY8Dv8YCFsro29ta08nhZNV9/0xqmpSXHu1wRERERSQCRfvTv0Nc5czCzgd7olCMiAO3dvXz64a1UtHThGHPW89b27Z4uq23lrj9toScUnugSRURERCQBRbqC9wfgHmNMJ/CotbbDGJMJ3AR8HfhJrAoUORf9/LXDVLZ0Yc4Id529IRo6u2nrDhJ2+0NefSsf/M1LfPuG88jPSIlHuSIiIiKSICINeLcDM4HfAtYYEwR89A06/xXw6diUJzL19YTC/GHnCSrbArjWkp3s49lDNaeFO2stFa1dNHT2cOZ6XjBsefJgNe/79Yv8/UULuWnlnIn9BkREREQkYUQ66LwTuM4YsxK4mL6GK43AM9baAzGsT2TKCoVd/vX5fTx3pI6WQO+prZitgR6ONHWSneJndnYaXsf0hbuO7rNW9E4KhFzae4L824sH8Hkcrl82eyK/FRERERFJEKMddL4T2BmjWkTOGaGwyx0PbmZHZTOOMafdZxd0LVhLS6CXQDBMUWZK38rdEOHu1OvCLsley09eOchViwpJ9nli/W2IiIiISIKJKOAZY45y+ky8s1hr50WlIpFzwL88t+9UuDuTx/T1PjL0bd881NiOZ4RwhwWP0/e6tu4g/7fzOO9ep7+SIiIiIueaSFfwHuDsgJdO3/DzfOCfo1mUyFQWCIZ4/kjtoOEOIDPZh8fj4Pav5AWCYVJ8nmFDXpLXIcXbt2LnGMPLR+sV8ERERETOQZHeg3f7YI+bvj1jvwGKo1mUyFT2fzuO09YdHDLgeRxDZrKPlq7+6SPWEgy7eLyDb7m0QGaKj4Gna+7W5BIRERGRc1Gkc/AGZfuGcf0IeG90yhGZ+ipaB59tN1B+WvJpx7jDbJD2eRwK0k8fjzDS+UVERERkahpXwOu3lFE2axE5l7l22NtZAUj1eynOScUxZtjmKl6Pw5ycNPye0/8q56Ulj7tOEREREZl8Im2y8v1BHnaAQuBNwK+jWZTIVJaVnIS1dsSumNkpSfjyHA7WtxMIhrH0NV6x9G/jTPJRkJFCyhndMsOu5YqFM2JWv4iIiIgkrkhX3t7M2U1WLNAGfAf4WjSLEpnKblwxmwd2nyA83L7Lfml+H6X5GQSCLmFrcV2L4xhyU5LwOIMHxJmZKVy7pDDaZYuIiIjIJBBpk5WSGNchcs4ozEplTVEum8sbIzp+3vRMblxezA9fOgAjbO9M9nr4xOVLT41MEBEREZFzS0TvAo0xTxljFg/x3EpjzPboliUytX3idUvJSx/5Prlkn4fbL1vCW1fN4WOXLCY9yTvoPXxh15KXnswX37CK84unx6JkEREREZkEhlzBM8a8ecDzlwNvNsYsHeTQK4H50S9NZOoqyEzh3jev4yuP76SsrvWsFbewdSnMTOMTly/hvNl9ge2GFbO5evFMfrfjOK8ca6A50IMBukNhMpL8FOek8ZcD1ZTVtfLWVXNI8an3kYiIiMi5Zrh3gFcAH+v/tQW+Mcyxwz0nIoOYlZ3Gf7xtPa+VN/Lw3gpq2gK41pKTmsTGBQVcU1qEc8Z9dik+L+89bz7vWTePn286zJMHq2ns6qElEKS8pRPo69J5/47jXDhnOv948WIyU/zx+PYkyqy1PHOohh1VzZxo7qStJ4i1kJnsZeXnuGIAACAASURBVFZWGisLc3j9wpln/ZkRERGRc8twAe8u4Lv0Ne47AtwEbDvjmDDQaq1tj015IlObMYYLiqdzwSi2VYZdl7sf2carxxtwjMFjTl/9c4yhoyfEX8qq2V/byjevX8fMzNRoly4TxFrLr7ce5c/7Kqlo6Rz0/sqdVS08uLecn206xFWLCnn/+fMV9ERERM5RQwY8a20vcBzAGDMXqLLWBieqMBEZ3Nef3H0q3A3HGENla4DPPryNf795PclnjFOQxFfe0sm3ntzN7pqWvjA/TPMcj3Gobe/mF68d5tUT9XzqiuXMnZYxgdWKiIhIIhi2yYrp8wYg42S4M8bMMcb8zBjzijHmP/vDn4hMgMMNbTx9sGbEcDfQsaYOfrv9WOyKkpg43NDGJx/YzN7a1lH9fnscw8H6du740xb2VLfEsEIRERFJREMGPGNMOvAC8DBwXf9j2cCLwDuBKuB8YJMxZk7sSxWR3+04MerXOMbw7OFa7AgjFiRxdHQH+ac/b6exs2fM52gJ9PKFx3bQ2NkdxcpEREQk0Q23gvdpYBFwPXBv/2OfAGYCH7LW3gSsA3YCX4hlkSLSdy/WphMNY3rt4YY2tlc2RbkiiZV7ntlDbVtg3Odp6uzmnqf3RKEiERERmSyGC3hvBf7ZWvuItTbU/9jNQDPwSwBrbRj4EXBNTKsUETp7Q7R2947ptY4xHGnqiHJFEgvbK5p4/kgdZhTbModijOGVY/W8eLQuCpWJiIjIZDBcwCthQNdMY0wBsBh4xlrrDjiuCtBkZZEYc61lrLssjTHaojlJ/HH3CaLZ/9LjODy0pyKKZxQREZFENlzACwADe6tf3v/fJ844bhagO/lFYizd7yN1jMPLw9alID0lyhVJtIVdl60V0d9Ku72qie5gOOrnFRERkcQzXMDbBNww4Ot30zf37sEzjvsbYEt0yxKZerqDYXZXN/PS0TrK6lpx3dGtqDmOYfWsnDFde2ZmKhvm5o3ptTJxDta30xIY2zbc4XT1hNhe1Rj184qIiEjiGW454B7gMWPMLPqC4DXAf1lrqwCMMecDHwOuoq8Ri4gM4kB9K7/bcYJXj9fT1NWLY/q2W87JSWdDSR7vWjuX7NSkiM51/bLZPHe4Fu8w89DOZK3l4rl5w85Qk8Swo6oZbwwGlHs9Dvtr21g/Jz/q5xYREZHEMuQ7Pmvtk8CbgRRgNvBt4KMDDnkQuAn4hLX2kVgWKTJZ/e/Wo/zj/23iyQPVdPSE8HscvI6D3+Ohui3A73Yc52/ve5mtFZGtrpw/exqrinJHdT9dbloS71ozb6zfgkygnlAoKs1VBj+3tmiKiIicC4b9SL+/g+YV1trl1to7rbUD9w7dAMyy1n4vtiWKTE6/33mcn7x6kPAwWzGNMbQGevnSYzspqx35VlZjDF+7djUluekRhbyMJB//dNVKctMiWyGU+BrNyuxo+TyemJ1bREREEseY301Ya1+11jZHsxiRqaKrN8TPNh2GCBfaOnqC/PDFAxEdm5Hs5wdvvYBL5hfg8ziDBj2LZUlBFt+6fi2ri3JHU7rE0cK8TIJhd+QDRynsWoqzU0c+UERERCa9sbXkE5Fh/Xb7MTp6gjij2G63q6aFg/VtLMzLHPHYVL+PL79hNU2dPdy3/Rj7a1sJhML4PQ6FWancuGI2Swqyx/MtSBysLMwhze+lN8ohz+MxXDBH02xERETOBQp4IjHw4tG6UYU7AAP8cXc5d25cNujzPaEwv995gheO1NHQ1U0wbEnxeVg4PZO/vXABq7RSN+kleT0sm5nNtiiPSlhakE1msj+q5xQREZHEpIAnEgMNXT1je11H91mPWWv5r02HeGhPBS2B3tOCY2sAatoCPHO4hsX5Wdx22WKt3E1yb1hcxGsnGqJ2P17YtVy5cEZUziUiIiKJT33TRWJgNF0uT3vdIOf5+l9286vNR2jrHnrLp8cYDta38emHtvLaiYYxXVsSw+sXzmBVYfRWYxcXZHL9stlRO5+IiIgkNgU8kRgY63a4zCTfaV//+OUDPHGgKuLtnh09Ib7x5C5ONHeM6foSf8YY7ti4lLSk8W+wSPI6fOJ1S3FiMFtPREREEpMCnkgMnDdr2qhX8cKu5cpFf91K19Ub4qG9FaO+l68lEORXW46O6jWSWIpz0vnk5UtJ8o59tIHP43DbZUtZlJ8VxcpEREQk0SngicTA21fPwecd3V+v+dMzuHBO3qmv79t2jI6e0Jiu/+rxegLBsb1WEsPr5s/gc1etYHp60qg+LLDWkpPq51NXLOeaxYUxrFBEREQSkQKeSAzMyEzl2sVFuBG+Mfc4hnevm4cZsFr34rHRd+I8qa07yO93nhjTayVxXDQ3n5++fQMbF84ccubhSdZaPB7DJfML+MnbL2KjGquIiIick9RFUyRGbrtsCZ29If5yoHrYoObzOHxowyKuGPCG3FpLbfvZHTUj5RgzrtdL4khP9vG5q1fS2NHNb3cc53BDOydaOmnrDvY9n+SlODuN+dMzeNuqOeRnpMS5YhEREYknBTyRGDHG8NkrV7BsRjaPl1Wxr7aNk70urLV4vQ7riqbx1lXFnDf79CHU1kJwnMOue8Lhcb1eEsu09GQ+cnHpqa/Drou14PVoI4aIiIj8lQKeSAwZY3jLimLesqKYnVVNbK9spjccJtXn5cpFM4dcbXEcQ7LPM66QlzyOBh2S+DxRmpMnIiIiU4sCnsgEWVmYy8pRzDebNy2dHZXNY7pWyHVZOTNnTK8VERERkclLHwGLJKhrSgsJ27Gt4BXnpJ92T5+IiIiInBsU8EQS1FWLCinKShv166y1XDov/7SOnCIiIiJyblDAE0lQjmP48EWL8I2iiYa1lkX5mbz//PkxrExEREREEpXuwRNJYJfOL+C23hD/+vx+ekLDd8W01rIwL5MPnD+f7z+/n+auXoLhMMk+D/npKbxtVTEzMlMnqHIRERERiQcFPJEJYK3ltfJGNp9opDsUxusYirJSuH7ZbPwjdLu8dkkRMzNTuG/bMbZWNhIMuadtvwy7lhkZyWSl+PE4hs88sg3D6dszrbU8tLectUXTuH7ZLDbMzY/J9ykiIiIi8aWAJxJDrmv5321HefpQDQfr2/AOaG3vWsv/bD3GhpI83rtuHgWZQw+oXl2Uy+qiXOraA/xuxwkauroJhl1SfV6WFmSxuaKR54/U4jHOWeEO+sY1hMKWTSca2FTeyLvWlPC3Fy7QfXoiIiIiU4wCnkiM9ITCfObhrWwtb8LjmNPCHYBjDK2BXv68r5JXTzTwhatXsnyE0Qb5GSl89JK/Dru21nL3I9t4+Vg9HhPhvXrW8qstR3CBv1u/cLTfloiIiIgksIRpslJaWnpjaWnpr+Ndh0g0uK7lsw9vY3tFX7gbSVNnD194dAdHGztGdZ2fvHKQl4/V44xyJc4xhvu2HeOZQzWjep2IiIiIJLaECHilpaXfA75OgtQjMl737zjGlvLGUW2BbAn08v3n90V8fCjs8pcD1aMOdydZa3lwT/mYXisiIiIiiSlRAtVLwEfiXYRItDx9qCailbsz7apu4Uhje0THPrKvktr27lFfY6Dtlc0cbYrseiIiIiKS+Iy1dsIuVlpaeivw8TMe/kBZWdlrpaWllwMfLisru2W4c2zZsqUEOBqbCkXGb39TgO9uqRnzytr6mWm8f1neiMd9e3MNh1rGF/AANhSm896l08d9HhERERGZcHPXrVt3bOADE9pkpays7KfAT6NxruXLl5OUlBSNU0kcbNmyhXXr1sW7jJjY8vIBsjK7xvz67uSMiH42wV3PkpHhG/N1TvJk5MT092Iq/17L2fT7fW7R7/e5Rb/f5w79Xie+np4edu/ePehz6qIpEmWB3tC4Xt89wkDzU8cFIztuMNZCr+tiraW1Jzjm84iIiIhIYlHAE4mykQaXjyTJE9mtsT6vA6PIZmHXUtvRTUdPkO5QmJBrwUJ5cyfv/tXzLMrL5Ppls1g7a9oYKxcRERGReEuYgFdWVvYM8EycyxAZt+LsNMKuHVOTFYC89OSIjstK9tEa6B3xOAvUd3RT295NyHVPjUF3AAx4HENNW4CatgDPHKph3exp3LVxGfkZQw9eFxEREZHElChdNEWmjGsWF1KQEVlIO5NrLdeUFkZ07HmzpzFSkyQLHG3qoLK1i/CAcDfwejkp/lNfO8awtbyRD9//KtsqGkdZvYiIiIjEmwKeSJR5PQ4Xz80fMXwNZk5OGpfNL4jo2HeumTvidtBjTR20BnrPCnYnJfs8ZA8IeADGGFq7e/nSYzs5WN8WUS0iIiIikhgU8ERi4D3r5lKQObotjo4D71o3L+Lh6LlpSaybnTvk841dPbQME+6stWQn+4e8XntPkHuf3kPYdSOqR0RERETiTwFPJAZy05L58htWMz0tslEejgN/e8ECro5we+ZJt126hPxB7tmzFmraAsOGu9QkHzNGCKFldW3ct+3YqGoSERERkfhRwBOJkYV5mXznhvNYN3sajjGDbtl0raUkJ407Ny7nnWvnjfoa+RkpfOXa1eSlnx4kG7q66Q0PvvJmrSXV72V+btqIw9g9juGpQzVj2m4qIiIiIhMvYbpoikxFRdlpfOv6dVS1dnHftmMcbminKxTC7/GQn57ENYuL2FCSF/G2zMEsyMvke2+5gHuf2cv2qibCYZe27uBZq3fWWjyOQ2aKn+KckcPdSQfq2zje1EnJtPQx1ygiIiIiE0MBT2QCFGal8vHLl8bs/AWZKdzz5r8Gye89tw/Tv2pojMHvcchK9pGXnoTPM7o5fV5j2FTeoIAnIiIiMgko4IlMIYVZqdz+uiU8fqCK7mAYa8ExjGuF0BhDQ0dPFKsUERERkVhRwBOZYk7eLucYw5BdVkZ7zuicRkRERERiTE1WRKYYxzFkJPmidj5rLVnJ+ixIREREZDJQwBOZgoqz06J2rpDrsqZoWtTOJyIiIiKxo4AnMgUtm5EdtdEGRdlpLC7IjMq5RERERCS2FPBEpqC3r55DatL4t1Vaa7lkbj4eR/9UiIiIiEwGetcmMgWlJfm4YXkxYXd8q3gFGSn8zfnzo1SViIiIiMSaAp7IFHXrBQvGtVXT4xg+cnEpaVFs2CIiIiIisaWAJzJFOY7h629aw7zpGaMOeR7H8NGLS7lsfkGMqhMRERGRWFDAE5nCMlP8/OCmC7mqtJBIZp271lKYlcpXr13DW1YUx75AEREREYkqDbcSmeKSfR4+c+UK3rikiD/sKmdrRSMtgV68jsEYQ9i1eBzDvGnpXDqvgHesKSHJ64l32SIiIiIyBgp4IueIVUW5rCrKJRR2OdTQzu6aZsIu5Kb6uaB4Olkp/niXKCIiIiLjpIAnco7xehwWF2SxuCAr3qWIiIiISJQp4InImIRdl+5gGGMMyV4PjhPBTX4iIiIiElMKeCISEWstW8obefxAFeXNnVS0BggEQxgMqX4Ps7LSmJObxvXLZrGkIDve5YqIiIickxTwRGRELx2t4xevHaasvg3PGe04LZaOnhD761rZX9fKo/srWVaQzd9ftIgVhTlxqlhERETk3KSAJyJDCoZd7n16D08erMZazgp3gzEY9ta2cseDm7l+6WzWp4xt0LqIiIiIjJ4CnogMqjcU5o4/bWFXdTNOJEP0zhAKW/5v53F2pLisXWt1j56IiIjIBFDAE5GzWGv5/KM7xhzuTnKMYVtdJ/c8vYdPvX55FCs8NzR19fDKsXqONHVQ2dJFIBTGWovPcZiWlsTs7DTWzc5lUV4mHseJd7kiIiKSABTwROQsv991gleP148r3J3kGMPjZVWsnzOd1y2YEYXqpraw6/LI3kqePFjNzqoWLHbI3wdrLT9+2TIzK4UNJXncsnouBZkpE1yxiIiIJBIFPBE5TVugl/9+7XBUwt1AP3r5ABfPzcfr0UrTUB7eW8EvNx+hpi2AxzEY03dP41CMMfg8hoaOHh7YVc4j+yq5uCSfT7xuKenJvgmsXERERBKF3mmJyGnu236M9u5g1M9b1Rrgob0VUT/vVNDc2cOnH9rCvc/spb6jG88Y7lc0xhAKW545VMOt973EUwerY1CpiIiIJDoFPBE5xVrLi0frMVFevQPwOIanD9ZE/byTXVltCx/63StsOt4QlX+QjTE0dPbw1Sd28R8vlWGtupiKiIicSxTwROSUhs5ujjV3xOz8hxrbCYbdmJ1/stlf28JnHtlGY2dP1EO1Ae7bdowfvFAW1fOKiIhIYlPAE5FTXj3eMMwdX+PX3hNkb01LDK8weTR0BPj8oztoDUR/O+xJjjH8ftcJ/mfLkZhdQ0RERBKLAp6InFLTHoh6c5WBvMZwsKEtZuefLKy13PP0Xho6umN+LQf49ZajHNbPXURE5JygLpoiCa4nFOaPu05woL6NytYAHT1BHGPITfUzOyeNDXPyWF+SF5UtfmE3tvdrGWPQDk34055yNp1oiGmYHqg7FOY7z+zjB2+9ICb3V4qIiEjiUMATiaFdVU1sKm+ksrWL7qCL3+tQmJnC2lm5rJs1bdg3272hMD98sYxnD9fSEug9KwxUtnaxq7qFB3dXMH96BresKeGq0sJx1Zvk9Yzr9SOx1pIc42skut5QmF9uPjJh4e6kvbUt/G7ncd62qmRCrysiIiITSwFPJAaePFDN/TuOUVbfPug+6F9vOcL86ZncuGI21y2bfdbzu6ubueepPZxo6cQxZtgw4HEMx5o6+PqTu3n+SB13X7VizEFtYV4mIdfF68Rm93bYwtpZOTE592TxwO5yGjt7JjzgOcbw1IEaBTwREZEpTvfgiURRMOzyhUe387W/7OLgEOEOwOM4HGvq4NvP7OXTD22hq/evjTa2VjRy9yPbqGjtGlUIMMALR2r5+B9foycUHlP9a4pyY7rCNj0tiVnZaTE7/2Tw9KGaCQ93J+2vb2N7RVNcri0iIiITQwFPJEpCYZc7/7SZ5w7XRtyJ0jGGTccbuP2Pm+kOhmns7OZrT+yioyc0phqMMeyvbeUrj+8c0+tT/V6Wzsge02sjsWJm9jl9D9jxpg721LTG7foO8GhZZdyuLyIiIrGngCcSJd9/fh87qppHvTpjjOFQfRvffGo333pqL81dPeOqwxjDS0freHTf2N7IX106k7CNficU11puWH72dtRzySvHG/DEOd9WNHfFtwARERGJKQU8kSjYWdXEn/dXjXnrnTGGh/eV88SBqqiscBlj+M22o1g7+q6YV5cWsnB65rhrONPqolzWzJoW9fNOJidaOuK+gnmipZOwq1amIiIiU5UCnkgU3L/jBO44Rww0dPTS2Dm+1buBjjd38vyRulG/zuM43H7ZUnze6P3zkJbk5c6Ny6J2vsmqsiX+q2fNgV6ONXXEuwwRERGJEQU8kXHqCYXZWtE4rnNYa+nsDdLREyQYpUFxjjG8erx+TK9dNjOb9503j2hMxXMMfGRDKYVZqVE42+QWCI6t+U00OUBjZ2+8yxAREZEYUcATGaedVc20dwdHPnAYvWGXYMhigbae8Z1roPJxrBi9a+083n/+PCLuGDMIn8fh7YtyuXZJ0dhPMoXEeI58ZAwEtUVTRERkytIcPJFxOlDfhs8zvs9KunpDgMVg6B7jiIPB1Hd0j+v17z9/AfNyM/j3l8qoaQtEfP+Yay0luencftkSQjVHx1XDVOKLd4cVwFpI9emffhERkalK/y8vMk7RaFhxWi+UKK7yuFE42aXzCziveBr/9eohXjxaR1VbFx4zeKANu33B7rL5+bzvvPl4PQ5bFPBOyU7xx7sEvI7D3Gnp8S5DREREYkQBT2Sc0pN8WGvH1R3R73Ww9O2G9DjRW+VJ80fnr3iKz8s/XLKYj2wo5bnDteyva6W8tYvO3r55fRlJXopz0lgxI4cL50yPe6fIRDUnJ41XjzfEtYaZmSkJETRFREQkNhTwRMbpwuLpfM+CdxyZJtXvxes4hK2NWigDKIpyYxPHMVy+cAaXL5wR1fOeKxblZRJ2bVRD/GjNylazGxERkalMTVZExqkwK5U5OWnjOodjDEleDz6PQ7rfF5W6rLUsmJ4RlXNJdFw4J4+M5Ph9rmatZXF+9GccioiISOJQwBMZJ2MMl8zLH9NQ8YGykn1kJnmJ1u7GFL+Xm1YUR+dkEhWpfi8XFufF7fopfi9vW1USt+uLiIhI7CngiUTB+86bP+45b4vyM1k+Mycq9VhruWRePhnJutcq0dy4sph4DSlYPyeP9OTorBCLiIhIYlLAE4mCZJ+Hf7xk8ZjHJTgOfHhDKf9wyeKoNNHMz0jhY5csjsKZJNqWzchmbVHuhF/X53F4x+o5E35dERERmVgKeCJRsr4kj9svWzLqkOcYw9+tX8Q1iwu5ctFM3ri4iLAd+xpPss/DJ163hLQkrdQkqk9evpS0pIm7F8+1lresmM2i/KwJu6aIiIjEhwKeSBS9YUkR37p+LXNy0wi7w6/FudZSmJXKV9+4mrevLjn1+Cc3LuW6JbPHtJKX5vfymdcv54I58bvPS0ZWmJXKe9bOwx3hz0i0LJieyd+tXzgh1xIREZH40pgEkShbWZjLN964li89sYPXTjRS2xYgEHJxDPg9DlkpPs6bPZ03LC7kxhXF+L2e015vjOGOK5axsjCbn7x6kPqOHpwROq+41rKqKJc7Ll/KrOzxdfSUifG21XMoq2/jyQPVMR2bkJvq57NXrsDj6PM8ERGRc4ECnkgUtXT18C/P7eOV4w30hsJkJPlIm+6lOxgm5Lp4HIcUr0NFaxfbKpt53fwCZmQO3pzl6sVFXDZ/Br/bcYwXjtZxtKmDQG8Yb38YCLmW3DQ/S/KzuW7ZLDaU5GnA+CRijOHuK1cQDLs8f6R2xBA/Frmpfr5y7WrmTkuP+rlFREQkMSngiUTJC0dq+Zfn9tHU2YMx5lTYcowh9Yzh5a5ree1EAx+6/1U+dNFC3rh01qDnTPZ5eM9583nPefPpDobZWdVMdXsXXsehND+TebkZOHEcmi3j4ziGL71hFd97bh8P763EHeeojZNca5k3LZ1/umolc6dpFqKIiMi5RAFPJAqePljDN5/eTTDkjmoVraMnyHee3UtP2OXGEWbWJfs8XDBn+nhLlQRjjOH21y1lQ0k+//rCPipausa1muf1GK5bWsxHNizCO8auriIiIjJ5KeCJjFNlaxfffW4vwdDYOl9aCz966QCleZksnZEd5epksrhgznR+UrSBn206xAtH6qho7cRjIgto1lr8Xg/nF0/jHatLojZPUURERCYfBTyRcfr2M3vp7AmN6xzBsMt3n93Hj9++XvfRDcFaS31HN5srGmnv7vt5+zyGFTNzmD9tamxVTfJ6+PCGUv5+/SKePFjNc0fqKG/upLKti95QGE//nw1L3zbM6WnJzM5JozQvk1vWlJCTmhTfb0BERETiTgFPZBx2VDWxraKJaGSLgw2tPHmwmisXFY7/ZFNEKOzy8N4KXjhax/HmTuo7ugFObWG01hKylpxkP7Ny0lg5M5tb1pSQlTK5g47jGK4qLeSq0r4/C509QXZUNdPc1Usw7JLq97CkIItZ2Wn6QEBEREROo4AnMg4P7q6ISrgD8BiHx8sU8AB6QmH+85UDPHe4jrr27lNjBM68N80Yg88YOnpD7K9tZV9NCw/sLuf84unceuECinOmRvfItCQfG+bmx7sMERERmQQU8ETG4VBjW1TPd7ihHWvtOb0qs+l4Az94YT/lLZ04xoxqRpwxhp6QywtH6tha0cQ715TwzrVzz+mfp4iIiJxb1GJNZIy6g2GqWwNRPWdDZw/VbV1RPedkYa3lhy/s5+5HtlHZOr5OkgBdvSF+/MoBPv7AZjp7glGqUkRERCSxKeCJjFF7T5Du8Ng6Zw7FWktte09UzzkZWGu59+m93L/jeNRmwUHfttedlU3c9sfX6OhWyBMREZGpTwFPZIw8jiHaG/+sBb/33NtO+MMXy3hkX8W4V+0GY4zhSEM7dzy4hWCUA7mIiIhIotE9eCJjlJPiJyfFT1sUV4ZS/F7m5mac+rquPcDjZdWcaOmkpi1Ab9jFYyA3LYni7DQuKJ7OqqLcqF0/Hl4+Wscfd5+ISbg7yRhDWV0r//ZiGbdftiRm1xERERGJNwU8kTEyxjA7O409NS3DHhdyXdq7QwTdMAApXi9pSd5BA01hVjKpfi/bK5u4b9sxtlQ2Egq5gzYJeYl6/mfrUUrzMrlmcSE3riiedM1EekJhfvBCGe4ELKw5xvDI3goun1fA6lmTOxSLiIiIDEUBT2Qc1hTlsqu6+aywFnYtdR0BWgNBukPh0zpjutbicRxSfR6yU/xMS0vCMQZrLctnZPPtp/fwWFkVYbfvXrThQpvHGA41tFP2/D6eOVzLnZcvZfYkGg3wHy+VUd3WNWHBNOxa/v2lMv7jbRooLyIiIlOT7sETGYd3rCkhI8l32mMNnd3/v707j4+rrvc//v7OkpnsS5N0TfcypS2lpYUWaKFc8OIGiBsuuCDuV72CAgL+ZFOoCoqAoAJ6EVy5LpeK4vVaCkVAoLZA2jJ0oU3TNUmzJ7N/f39MGpI2e2bL9PV8PHhAzzlzvp/peUyYd76bthxs1oGWTgUi8V67nmHiSJhrD0VU29Qu/6EWtQTCMsZo095G/WlLbXe4GyqncWjz/iZ98Q8v6sWa+tG/sRQIR2Nav+NQyoOW/1CzXqhpSGmbAAAAqULAA0YhL8el9y2apqiNyVqrNw63aU9Th6KxvodVHi2+b1tUOxpaVdPYrn2j3B6gNRDWN//2il7d1zjie6TK/1TXqKEj9SuGOh0O/WnLnpS3CwAAkAoEPGCULl0yUydPKtOuw21q6ggOe2VNKylqrRo6AjrYGhh1PW3BiL7zZLWCXb2HmeofO+uSurDKQP5Ve1iBcGb//QAAAIwEAQ8YJWOMlk0tVygak4YZWKzi2y04tI2XBgAAIABJREFUjJGR0cG2TrUlYFPu2qYO/eDpraO+T7JYa7W7qT1t7bcGwnplDPRyAgAADBcBDxil+rZO/WbTbs2pKFZ5vmfoIc8YleblyOtydn8QrZVqmztkR7nZt8MYPbntgJrSMARyKPY0tauhffS9lSPldjpUPcjqpwAAAGMRAQ8YpV9u3KXWQEgOI1WV5GtOeaFKcnPkcBjFFO+lOyImyeEwKsrN0cxxBarI96ojHOl1v45wVE2do+/FC0ai+vXGXaO+TzJsqD0sZ5pXsaxtTl8PIgAAQLKwTQIwCtZaPfdGXa8FVfJzXMovK1DMSu2hsNpDEcWs5DBSntulgh574NU2d/ROgIr/1uVwR1CleTmjqs0Yo417D4/qHsnSEYqkfZsC5uABAIBsRMADRmH34XbtbemQ23FsZ7jDSIUe9zHbKPTU30IoneFIr73zRqq2uUORaEwuZ2Z11g93G4hkyIASAAAAEi6zvvUBY8yLe+rlGkUIC0ZifR4PRa1CCVgFsyUQ0vb61lHfJ9E8Lme6S5DbyUbnAAAg+xDwgFFoDoRG1csW63cxFatgtO/wNxwOY9Ky19xgZpcXKJyA9zcaFfnetLYPAACQDAQ8IEMlZAShlVyOzOupWjCxVPk56RshHrNWs8oL0tY+AABAshDwgFEo9OSMakuD/sOXkScR8+YcRtNLMy/IeFxOTSnJT1v7VtKyqRVpax8AACBZCHjAKCybWq7IKAKet5+5aDlOk5B5auMLPKoszMyhiPMnFI96v7+R8lUUqbwgM/9eAAAARoOAB4zCtLJ8TSrKG/Hrc93OPodi5rpdCdlGYEZZYdq3I+jPJYump2V1z5i1OnvW+JS3CwAAkAoEPGAUjDE6Y3rFiHuiygu8ch41TDNmrcryPKOuLWpjOu+EiaO+T7JMLM7TosllKW+3JDdH7zl5WsrbBQAASAUCHjBKHzplugq9I9uU3GmMir3uXr14eTkuleT2v3feUFWVFOjcOZkb8CTpE6fNkjuFvXgxa/Wuk6oyYpsGAACAZCDgAaNUXpCrD58yQ7ER7pw9uTivO+QYI00pzhv9sEojfWLZLDkycAXNnuaOL9G7FlQNsF1EYs2fUKyPLp2VkrYAAADSgYAHJMD7Fk3TWbPHjyiouBwOTSzKlTXS+IJcFXhG13t3ZI7ZObMzu/fuiE+dPke+yqKkL7iS73HpK6vmZ+ycRAAAgEQg4AEJYIzRN/59oc6ZPWFEIa+ywKv3nFSl8UW5o6ojZq1Omliqa889aVT3SSWnw6Fb375Yk0vykhbyvG6nrjlnvmaMK0zK/QEAADIFAQ9IEKfDof/37wt1xdnzVOR1DymsRGNWVSX5Wv3OU3T/JWfqk8tnj3h+WNRanTmzUndctDSl89oSoSzfq+9duFTTygoSHvLyc1y67twFOnMmK2cCAIDs50p3AUA2McbowgVV+rfZE/SbTbv07K467W5sUyRqu1fLDEdjyve4NKe8SOfMmaAL5k3p3i7gQ6fM1KlV5freui3aerD5mBU2+xKzVuPyPfr4qbP1zvlTkvr+kqmiMFf3vneZvvfUFq3ddlAaZdCLWau5lcX66jnzNKu8KEFVAgAAZDYCHpAEBV63Ll8+R5cvn6O2YFgv7WlQXVtAxkjTSwt00qTSfnvq5lQU6d73LtP6nYf056212nKwWc2dITmN6Z4/FonF5HU5NWNcoc6aWan3nDwtK1aGzHW7dP15C3XWjIN64Plt2t3UJqcZXm9kzFoVety6+KSp+tipmb/QDAAAQCIR8IAkK/C4tWr2hGG9xhijs2aN11mzxisai2l7fate3teoUCQqp8Oh6aX5WjSlTLnu7PwIr5w1XitmVurv2/brr6/t06a9jQpHY/32aFprFbXSnIpCnTVzvN63aFrW/t0AAAAMhG9AQIZzOhzyVRbLV1mc7lJSyhij806YpPNOmKSWQEgv7K7XtvpW7W3uUCAclbVWbpdTlQVeTSvL1/Kp5ZqUiC0mAAAAxjACHoCMV+TN0Xm+STrPl+5KAAAAMtvYWmoPAAAAANAvAh4AAAAAZAkCHgAAAABkCQIeAAAAAGQJAh4AAAAAZAkCHgAAAABkCQIeAAAAAGQJAh4AAAAAZAkCHgAAAABkCQIeAAAAAGQJAh4AAAAAZAlXugsAgGSy1qq+PaB/7q5XcyCscDQmhzFyOx2aXV6ohZNK5XE5010mAABAQhDwAGSd5s6gfrNpt7bVtWhPU7sOtAZkJDmM6XVdOBpTvselKcV5mlKSrzNnVOrcORNkjroOAABgrCDgAcgK1lpt2NOgNZtr9eKeegXC0e6g5uwnsLmdDoUiMe1saNPOhjat3bZfP39xh86cUaEPLJ6u4lxPKt8CAADAqBHwAIx59W2d+u6TW/RCTX13L91IeuFcDof2NnfoNxt36U9b9upDp8zQBxZPp0cPAACMGQQ8AGOWtVaPbd6jh17coaaO0DFDMEfKGKOOUEQ/ee51Pb+7XledM09TSvITcm8AAIBkYhVNAMNmrdUnP/lJPfLII72O33PPPVqxYoVOOeUUXXfddero6EhaDZFoTDc+8bLufGqrmjvDSellcxij6v2N+vzv/qkntx1I+P0BAAASjYAHYFii0ahuvPFGrV+/vtfxRx55RL/4xS+0evVq/exnP9PGjRv1rW99Kyk1hKMxXfOnf+npnQcT1ms3kPZgRN9eW60/b6lNelsAAACjQcADMGR79uzRpZdeqvXr16uoqKjXuZ/97Gf63Oc+pxUrVujkk0/WTTfdpD/+8Y9qb29PaA3RWEzX/3mj/lXbkJJwd0Q4GtNd61/T2m37U9YmAADAcBHwAAzZxo0bNXPmTP3+979XYWFh9/G6ujrV1tbqtNNO6z62ePFiWWu1c+fOhNZw1/rX9GKPxVRSKRyN6Y51W7SjviXlbQMAAAwFAQ/AkF144YX61re+pZKSkl7HDx48KEmqrKzsPuZ2u1VSUqKGhoaEtf/Snnr9ZevetIS7IwLhqO5Yt0WxmE1bDQAAAP0h4AGDOHDggL70pS9p2bJlOvPMM3XttdequblZkrRv3z599rOf1ZIlS3Tuueces+jI8SIQCEiScnJyeh3PyclRJBJJSBuhSFR3P/2aohkQrLYebNZDL+5IdxkAAADHIOABA4hGo/r85z+v9vZ2PfTQQ7rvvvvk9/t1zTXXKBQK6bLLLlNra6seeeQR3XLLLbr//vv1i1/8It1lp5zHE98QPBQK9ToeCoWOCX0jdd+zftU0JXY+30g5jNGjL+/Wnsa2dJcCAADQCwEPGMDWrVu1efNmrV69WnPnztXChQt1/fXX68knn9S6deu0d+9e3XnnnTrxxBN1xhln6Oqrr9ZPfvKTdJedchMmTJAUn4t3RDgcVlNTk8rKykZ9/2AkqnXbU7Ni5lAFI1H9ZtPudJcBAADQCwEPGMDkyZN1//33q6KiovvYkf3WampqVFVV1evc3LlzdeDAAe3du3dY7TQ1NemrX/2qli1bphUrVuiuu+5SLBaTFF/YxOfz9fpn8eLFCXh3iVNRUaHJkyfrpZde6j62ceNGORwOzZw5c9T3/90rNWrqDA1+YYo9u6tOoUg03WUAAAB0c6W7ACCTlZaW6qyzzup17L/+6780bdo0lZeXq6GhQeFwWG63W5K6g93hw4c1efLkIbfzxS9+UY2NjbrvvvvkdDr19a9/XYFAQFdffbW2b9+uE044QT/96U+7r3c4Mu93Mx/5yEd01113acqUKSotLdUNN9ygd7/73crLyxv1vZ/afiCjeu+OaOwI6o+v1uj9i2ekuxQAAABJ9OABw/KTn/xEf/vb33T99dd3B7/bbrtNnZ2d2r9/v+655x5J8eGJQ7V582a98MIL+s53vqNTTjlFJ598sm655Rb9/Oc/V0dHh7Zv367Zs2eroqKi+59x48Yl5f2Nxsc//nFdcskluvrqq3X55Zdr0aJFuu6660Z93x31rXrtUHMCKkw8hzF6bnd9ussAAADoRg8eMEQ//OEPddddd+kb3/iGzj77bEnS3XffrWuuuUa/+tWvVFRUpK985St6+eWXVVBQMOT71tTUyOv1at68ed3H5s6dq3A4rOrqam3fvl0nn3xywt/PaK1du7bXn40xuvLKK3XllVcmtJ0XaurlzMDeuyN2N7bLWts9dBcAACCdCHjAEHzrW9/Sww8/rBtvvFEf/OAHu48vW7ZM69at06FDh1RaWqrdu3fL6XRq0qRJQ753RUWFAoGADh8+3L0gSc+hnjt27JDH49GFF16oxsZGnXrqqfra177Wa8+5bFbT2J7R4amhPaDapnZVlQ491AMAACQLQzSBQfzgBz/QI488ottuu61XuNuxY4c+/OEPKxgMqrKyUm63W2vXrtVJJ500rB68hQsXatq0abrhhhvU3NysxsZGrV69Wi6XS4FAQPv371coFNI3v/lN3X777dq3b58uv/zyYQ0DHcv2ZMjWCP1xGqN/7k7cZu4AAACjQQ8eMIAtW7boRz/6kT7xiU9oxYoVvbYBqKqqUm1trW677TZdfvnleuWVV3TvvffqBz/4wbDayMnJ0d13360rr7xSy5YtU25urr7whS9o8+bNKi4u1ksvvaTc3Fy5XPGP6z333KOVK1fqhRde0JlnnpnQ95uJDrQG0l3CgIwx2t/ake4yAAAAJBHwgAH99a9/VSwW0wMPPKAHHnig17k1a9bovvvu080336wLLrhAkydP1q233to9P284fD6fHn/8cTU0NKigoEDRaFTf+c53VFVVpcLCwl7XlpeXq6SkRAcPHhzVexsrxsI2BKGoTXcJAAAAkgh4wICuuOIKXXHFFQNe8+tf/3pUbTQ3N+tzn/ucvvvd73ZvrfD444+roqJC7e3tWrx4sdasWaMpU6ZIkvbt26fDhw9r1qxZo2p3rIiNgewU7dqzEAAAIN2YgwekWXFxsYLBoG677Tbt2rVL69ev180336wvfOELOvHEEzVhwgRdd911eu211/TKK6/oy1/+ss4444yMXFkzGVzOdFcwOFcG7ksIAACOT/TgARngzjvv1I033qiLL75YZWVl+tKXvqQPfOADkqT7779fq1ev1kc/+lHFYjGde+65CdlfLtNEojH5D7VoW12LQrGYrJXcTqPOUFQxazNyo/MjvG4CHgAAyAwEPCADVFVV6cEHH+zz3JQpU7o3UM8m1lo9tf2Ant1drz2NbdrT1KHmQEhuh6N7WwRrrbbVtaozEpXH5ZDH5VSBx6XyPK8yJe9FY1YzxxUOfiEAAEAKEPAApFRLZ0i/2bRL63ceUk1ju5yON5NajrP3eExjjHJznOoIRxQIRxUIR9XUGdKh1oCKvG5VFuTK40pv75nDGC2fVpHWGgAAAI4g4AFJ4D/UrGfeOKQ9jR3a39KhYCQmY6RCj1tTivM0tTRfbz9xsopyc9JdaspYa/WLDTv1m0271B6MyBjTK9z1x+tyylrb3atnJIWjMdW3B9XQEdK4vBxNLs7XEG6VFBOLclVyHD1HAACQ2Qh4QIJYa7Vmc63+5t+nzQebZNR34th8oEnWWv38pR06dWq53rtwmk6aVJrialNrd2Ob7nhyi17Zf1hO8+YQzKEo9rq112Gko1bTNJJkrerbg2oLRjSlJE+FHndC6x6KGeOGvqk9AABAshHwgBH4/e9/r2uvvbbPcxXv/U+5K6vU9PQf1LFtY3yY4ZzFKjnr3TKueAAxxigYiemZnYf03K46ve3EyfrCirlyO7NvsY7n9rXqrxtfUEcoIqcZ/vvLcTlVmONWazDc53kjKRiJakdDmyoLvJpUlDvKiocuZq3O901KWXsAAACDIeABI/D2t79dK1eulCQ9veOgHnj+de39889lg53KmThDh594SOGG/ap41+dkYzEdfuIhNbtzVLLy4mPuFY1ZPVa9R6/ua9St7zhFE1IYUJLtD6/W6BevHVZe/uh6ucryPGoOhgfe18VaHWztVMxaTS7O66f/NLGmleZrxczKFLQEAAAwNAQ8YAS8Xq+8Xq+e2LpXP9l0QK17dihYu00TPnK9Is316ty2UZUfvFo5lVWSpKLT3672zc/3ez+HMdrd2K4r/+dFff+iUzV+hCHPWqtdh9v0Qk2D6tsDCkVjMpI8LqeqSvK0fFqFygu8I7r3cK3ZvEf3PuNXNAE7lZfkuuVtdSoUiQ54nZFU1xaQJE0pzht1uwOx1uqsmROGNdwUAAAg2Qh4wAhV72/UXetfUzgSVvMzj6lw8TlyFZer7eWn5Squ6A53kpR/4jLln7hs0HsebA3o+j9v1I/et1yuIQ7XtNZq/c5D+svWvXqtrlkN7UG5jDkmeMRsPGiNL8zVwkmles/CqfJVFg/jHff2/e9/X2vWrNHatWuPqecDH/249uRXKXfhWSO+f0/GGJXne1Tb3DFwL57eDHkel0MV+ckLs5WFufrgkulJuz8AAMBIEPCAEYhEY7rzqa0KRqLq3LZJ0fYmFS49L36uqU7OknK1vfoPtW1cKxuJKHfOIhWf/s7uOXgD2dHQqvuefV1fXDl3wOustfpjdY3+59U92t3Y3r0RuNvRdwQ6cr6uLaC/v75f//f6fp00sUQfWTpTS6vKh/P2VV1drQceeEDjx4/vdTwajeqmm27SpheeV8mqKcO652Aq8j1qCYTVGggN2mtmJB1oCajYm6OcJM1r/NwZJyjXzY9QAACQWbJvRQcgBX76wnbtaGiVJLW9sl5585bL4YkPCYyFgwrt36XO1zeo9C2XquSc96tz2yY1Pf37Id3bYYz+tGWP/Iea+73mYEunrlqzQXc9/Zr2NHV0h7fhMJKq9zfpusc36vYnNw86/PGIUCika6+9VosXL+51fM+ePbr00kv15/9bK+NJ/DxCY4yqSvKG3LMZicW0p6n96MU3R81aq7Nnj9fZsyck+M4AAACjR8ADhikai2nttgNyGKNoW5NC+3Yof+5p3eeNwykbCars7ZfLM3GGcmfMV8lZ71Z79bOykb5XgjxaJGr13y/v7vPc+h0H9ZlHn9O/9jSMKNgd+36sHt9Sq0/99jnVNLYNev0Pf/hDTZ06VW9961t7Hd+4caPKJk5R8fu/KkdOchaK8bicmjjE+YlGUksgrIb2YEJrmFScp6+cPS+h9wQAAEgUAh4wTH/Zuk8HWjolSYFdW+QsKFXOhGnd5535xXLmFcmZm999zFU2XrIxRduahtzO87vr1BGK9Dr2N/8+3fr3V9XatVF4ojiMUW1Th65a8y/tbGjp97rq6mr99re/1Y033njMuQsvvFCV518q5SR3cZPyfK/GF3qH1DNnJDV0JC7glRd4dds7T1F+GvbbAwAAGAoCHjBML+6pl9MRD1fB/W/IM3lWr/M5k2Yo2t6iaPubQyzDDfslp1uO/KEvatIWjOhvr+/v/vOzbxzS95/aqlAkNsp30L/6toCuf3xTd4Dt6cjQzKuvvloVFRXHnG/pDOmFmvqk1dbTxKI8TSgc2gIqHaFIv3voDUdlgVer37FYVSX5g18MAACQJgQ8YJj2NLV3/3e4fp9c4yb2Ou+ZMkc546eq4S//pVBdrYK129T8zB+VP3+5HO6cIbfjMEa7DseHTLYFwvrB+viiLsl2qC2gbz9ZLWt795Hde++9mjBhgi6++Ni9/CTpN5t2qfOoHsdkmliUp8nFeYMOUzWS6kcxTDMas5pTUaTvvWupZowrHPF9AAAAUiHtS8D5fL5iSY9IKpKUI+lKv9//XHqrAvoWjES1v0fvVqyjVQ5v7yGJxjg07sLPqGndf6vu0TtlnC7lzT1VxWdeOOz2joTJ29dtUV1rIGV7rm3ac1iPbtqt9y+e3n3sscceU11dXffiKuFwWJFIRIsXL9b999+vF2oGX90y0SoKvCr0uFXT1K72YLjf9luDYVkrDbc8j8uhixdO0+WnzZbDwX53AAAg86U94Em6UtLf/X7/nT6fzyfpV5JOSXNNQJ/aghF1hqNydiWFiZff3Od1ztwCjXvbx0fdXnsoovU7DurpnQdTGp4cDqNH/rVT550wUWX5HknSww8/rEjkzR66xx57TI8++qgefvhhlYwrV+2/0vN7Ga/bqTnlhTrYGlB9e0DhaOyYv6tIzKo9HFFBztB+5MUknTShRF9cOVdzKoqSUDUAAEByZELA+76kI+OnXJICQ3lRdXV10gpCamzYsCHdJQxbUyCi1tbW7oCXbHUmpJ+sbVBb65A+FgnV0mL13cee1ntPKOvzfGtrq6LRqOrr6/WUv0YHG5rk6urlitmYAoGgbGtr97XJlm+kvHynGoNSWziqzkhM8QGacfXNrbLe/n/kWWuV63Zowbg8nVNVqJklTrXUbNOGmqSXnnXG4mcbI8fzPr7wvI8fPOuxK6UBz+fzXS7piqMOX+b3+1/0+XwTFB+q+eWh3GvBggXyeDyJLhEpsmHDBi1ZsiTdZQxbRyiisldbFIslene1vhWV5KumqV2FhelZtbEm4tHixaf0OTxx69at8ng8WrJkiV7+5zaVFr85dLXNOOT1elRQWKjW1lYVFqZu7tqR/ra2YEQtgZCCkagC0Zicbpdy8/MUszEZGbmcDpXk5qiqOE9TSvM0o7RQb583WXlD7OVD38bqZxsjw/M+vvC8jx8868wXDAb77fBK6TcZv9//oKQHjz7u8/lOkvRrSV/1+/1PpbImYDjyclwaX5Cr/S0dKWmvvj0gm5os2ae9LR36+7b9eotv0jHnLr30Ul166aWSpINH9TBO/MRNKalvIAUelwo8b/6Im1tZpJvftljBSFROh5HH5VSx153yeYMAAADJlPZVNH0+3zxJj0r6kN/v/0u66wEGM7U0ufu8HWGtVTCSxnQnyWkcenV/46DXpWJ1z9GKxKzG5Xs0qThP4wtzVZKbQ7gDAABZJxPGIt0mySvpB/E1VtTs9/svSm9JQP/mjS/Wc7vqBl2efzAxa9UejKgtFFbUxgOdwxi5HEaFXrcKcpzDXvUxGXpuC9GfaDq7GYcoNgZqBAAAGK20BzzCHMaa95w8TY++vFttweHv+RazVg3tQTV1htQZjioSix0TFK21UrNRSa5bUcU32C70uJWurLenqUPW2gF7u1yOtA8GGNRYqBEAAGC0+MYDDFOu26UzplcesxH4QKy1OtjaqS0Hm1Xb1K72UESxrh67oxljJCO5nEatnSHtqG/V64da1BIMJ/JtDFlLIKxQNDbgNbluZ4qqGTmvmx93AAAg+/GNBxiBz595gioKvUO6NhCJant9q/a1dCrSxx5tR7OSinNz5HXFO9iNpM5wRDsb2lTT1J7yoYYxaxWKDBzwJhflDSvwpsOk4tTMnQQAAEgnAh4wAoXeHH1q+QkaLNK0BsLaVteq9lBkyEMs3U6HppbkHzv/rmt457a6VkVStE2DFO9RdDkHrn7p1HEZPQ/PWqupJQXpLgMAACDpCHjACJ13wkS9f9G0fnvUWgNhvXG4TdHYwL1fPTkcRtNK8+VyGOU4HccESCOpIxzR9voWRVMU8jwupzzOgYdgzi4vVHFuTkrqGYmItVo2tTzdZQAAACRd2hdZAcayz57hkyQ9uml3r+PhSFS7G9uGNZzS6TCaVlagQk98U/MCj1tOhzlmH7z4kM2odh5u0+zywqQvvlJVnNfnRuc9OR0OzSwr0Kv7m0bcjrVWoUhULcGIApGoApGYwtGoYlZS1yIvDhPv4fS6XPK6HSryuJXjGnz+34TCXE0ryx9xbQAAAGMFAQ8Ypc+e4dPcymL96NnXdai1U8YY1TR1KDyE+XZSfM5dgcetqSX58rje7FR3GKMcl1PB8LF7zBlJbcGw6toCqiwY2lzAkZoyxH3/zpo1Xpv2Nso5SBg8WjgaVV1bUE2BsALhqIz6W7EznnSDkZjagpH4nD9jlOt2qiQ3RxX53j7bttZq+bRy9rwDAADHBYZoAgmwavYEPXjJ6Xrn/Cp1hqNqDoaGtJiK1+3UlJI8zS4v7BXujvAO0DtlJB1o7VRwkBUuR8NaqxmlQ5u7duH8KlUOceEZSWoPRvTG4TZtOdiig62dCkWichgNOYgZY2QkBcJR7W/u0JaDzdrd2K7AUZuuOx0OfWDxjCHXBQAAMJbRgwckSL7HrSvOPlGb9zeqNRhWeyiiYCSqYCTWPZfOaYw8Loe8rnivU6F34P3tynJz1NgZ6vc3MbFYfPuFqSXJGX6Y73HrogVVQ7rW5XTo9GkVWrN5z4AhLWat9rV0qKE92D38dLS9a8YYRWMxNXYE1dwZUmWhV+MLvDLGaPGUMlbQBAAAxw0CHpBAL+5p0I6G1l7DJq3iocbozV6noSryupXrcioYOXaY5hEtgXC/e+qN1mlTxym/a07gUHz01Jl6eudBtQT63rOvLRhWbXOHOkORpA2ZjFmr/c0dagmENaM0Xx+k9w4AABxHGKIJJNCft9bK6ej9sTKK99w5hhnupHggLM11D7jHXDgaU0N7cPjFDtq4dPFJU4f1knH5Xn3s1Fl9Li5zqC2g7Q2t8Xl2SZ4PZ4xReyiiw50hNQdCSW0LAAAgkxDwgATaUdeW8HtWFuYqN6f/zvb41gn99/CNhLVW/zZnghZMLB32ay9aUKVTp5b3CqUHWjq0r7lDg24cmEBel1MVBbn69tpq/WXr3tQ1DAAAkEYEPCBBWgNh7W/tSPh9HcZoSnHesRuf93D0wiKjNaEoT1eePW9ErzXG6KpV8zQuPz5MtSEQ0YHWQCLLG1INU0ry5DBSKBLTD57eqrXb9qe0BgAAgHQg4AEJ8q+9DYpEk9NFVeBxqyLf228HWDASTVjnmMvp0H+ceYJy3SOfoltRmKub33aygpGIGjr7no+XLMYYVZXkde8nKMWHsd6+brNe3Xc4pbUAAACkGgEPSJCG9qCGuQXcsEwsylVZXk6f8/FiVgPO0xsqhzH6jzN9OnPm+FHfa3JRnvJy3Mc7G86hAAAbiElEQVTMSUymI+GuLM9zzLlgOKY7n35NkSRuKwEAAJBuBDwgQaztb4PuxDDGaGpJvsYV9N2TN9p453Y69KWz5urCIW6LMJjvrtuiSDSmyQVued3OpE6/s4rXP70sv89wd8TOhlbd+6w/iZUAAACkFwEPSBCv29Xn6pGJdCTkVZXky+l0dPfaGUmOYa/RGRezVtNKC/Ttd56iC+YnJtz972t79Y83DskYI6/TIV9FsSoKvBpwIuEIWUkluTnyVRar2Jsz4LUOY/T4llq9wlBNAACQpQh4QIIsmlSqWIpWiSzP92hueaGKc3NkJeU4HcPOTtZa5TgduvikqfrJ+5fr5MllCanNWqtHNrzRK24aI00pztPs8gLl5bgS0ptnJXlcTk0rK9CMsgK5hjg+NhK1evD57QmoAAAAIPOw0TmQIJOK81SR71FjZ2r2XXO7nJo5rlAd4YhyXU4Vet1q7AjKNcict3Aspqkl+Voxo1KXLJ6u0gGGNI7Ek9sPqKaxrc+5dwU5bp1Q4VZrMKz69qBag2FFY3bIfY9W8V7MQo9LZXkeleTmjKjfsvpAk7bXtWh2RdEIXg0AAJC5CHhAghhjVFWan7KAd0Suy6lLTpmhj586S8/tqtPrdS2qaWxXXVtA4VhMRkYel0MTi/I0tTRPCyeU6uTJZXIkaUWYJ17bN+jCKoUetwo9bkViVoc7ggpEogpGogpGYorEYuo50tXpMPK6nPK4nPK6HCrJ9cjjGv3gg9+9UqNrzl0w6vsAAABkEgIekEDLppZr097DciRxsZWjuZwOXTBvijwup1bNnqBVsyekrO2j7W1q18a9Q5/f5nIYVRZ4u/9sJUVjVtZaWcXnzDkdZoSzCwf27K46BcJRed3OJNwdAAAgPZiDByTQxQunqjRv4IU+Em3R5DJNKs5LaZv9+dPWvYqOYhsCo3joczsdynE65EpSuJOklkBIf31tb5LuDgAAkB4EPCCBPC6nVsyoTMiedENhJV0wb3JK2hqKmsb2pG4VkUgOY7TjcFu6ywAAAEgoAh6QYJ8/c25KetSstVoxo1IrZ6VvSObR9jS1p7uEYaltHFv1AgAADIaABySY1+3U58/0JWPLt17KC7y66px5yW1kGNqCYe1v7kx3GcNS09SRst5WAACAVCDgAUlwxoxKvX/R9KRtfO51O3Xl2fNUOMjG3qm0sfawQtFoussYlrq2gOraAukuAwAAIGEIeECSfPr0E/TehdM08iVH+pbrduqqc+Zr+fSKBN95dOrbg3KOkfl3R8RisZRvawEAAJBMbJMAJNF/rJyrcQUePfLSG+oMR0Z1L2utJhXn6T/POlGnTi1PUIWJE4nFxswCK0cYY9QeDKe7DAAAgIQh4AFJ9oHFM3T69Ard/uRmvbKvUa5BNgHvizHSeSdM0pWr5snjysx928ZYtuvmGMHzAAAAyFQEPCAFppUW6K6LT9O67Qf0l9f2aWPtYUUH6fGKWatCj1vLp1foPQunyldZnMKKh8/tdMhaO6Z68WLWqsDDj0EAAJA9+GYDpIgxRufMmahz5kzUvuYOPbXjoGoa21Xb1K7WYERRa+V2GJXle1RVkq8ZZQV6i2+ict1j42M6rbRAEWvlHkMBz+t2qrLAm+4yAAAAEmZsfHMEssyk4jx98JQZ6S4joeZPKFGhx61AeOyspDmxKE9FGbQSKQAAwGgx+QRAQridDk1JwQbviVRVMrbqBQAAGAwBD0DCVJXmp7uEYakqGVv1AgAADIaAByBhZo8rTNrm7okWicU0f0JJussAAABIKAIegIS56KQqFXnd6S5jSKaXFmjlzMp0lwEAAJBQBDwACZPrdmn5tIp0lzEoa61WzKwcU1s6AAAADAUBD0BCvXvhVGX6IE2v26lLFk1PdxkAAAAJR8ADkFC+ymItnFia7jL6Za3V8mkVKsplewQAAJB9CHgAEu6LK33yupzpLqNPZfkefWnl3HSXAQAAkBQEPAAJN6u8SO89eVrGragZs1aXnzZbJXmedJcCAACQFAQ8AEnx8dNmaV4GbUNgrdUZMyr0tnlT0l0KAABA0hDwACSFMUZfXTVfhTmZMVRzUnGerl61IN1lAAAAJBUBD0DSzBhXoE8tLFeBx5XWOioKPFr9zlNUnMfCKgAAILsR8AAk1ZySXN301kUqzk3PBugTCr369gVLNKUkPy3tAwAApBIBD0DSLZpcptXvOEVTivNStvBKNGY1p6JI37voVE0rLUhJmwAAAOlGwAOQEidUFuv+S07XO+dNkdNhktqWx+XUh5fO1L3vWabxRblJbQsAACCTpHdiDIDjSo7Lqa+cM19nzx6vu9e/pt2H2xMa9iKxmOaNL9GVq+ZpTkVRwu4LAAAwVhDwAKTc0qpyPXjJGfrz1r36++v79eqBJo005llr5XQ6tHhymd46d5LOmT1BxiS3hxAAACBTEfAApIXL6dCFC6p04YIqvV7XrN+/UqPX61q0t6lDgUhULkf/I8gjsZjyctyqKsnTiZXFumTxdE0qzkth9QAAAJmJgAcg7U6oKNbXzj1JktQZjmhj7WFtOdisuraAwrGYIlErl9PI43SqssCrRZNKNX9iiXJcmbHHHgAAQKYg4AHIKLlul86YUakzZlSmuxQAAIAxh1U0AQAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwAAAAACBLEPAAAAAAIEsQ8AAAAAAgSxDwgC5tbW267rrrtHz5ci1fvlzXXHONGhsbJUnRaFR33HGHzjzzTC1dulRXXHFF9zkAAAAgUxDwgC433XSTtm3bpp/+9Kd68MEHtW3bNn3961+XJN1xxx36wx/+oNtvv10PP/ywdu3apRtuuCHNFQMAAAC9EfCALmvXrtXHPvYxzZs3T/Pnz9dll12mZ599Vm1tbXr44Yd1ww036PTTT9eJJ56oa665Rq+//rrC4XC6ywYAAAC6EfCALqWlpVqzZo1aW1vV1tamP/3pT1qwYIFeeuklORwOrVq1qvva5cuX64knnpDb7U5fwQAAAMBRCHhAl1tuuUWbN2/WqaeeqqVLl2rnzp363ve+p927d2vixIlat26dLrroIq1cuVLXXXedWltb010yAAAA0AsBD+iyc+dOzZgxQw899JAeeughFRYW6qqrrlJbW5sOHTqkH/7wh/ra176mO+64Q1u2bNGVV16Z7pIBAACAXlzpLgDIBDU1NfrmN7+pJ554QtOmTZMk3X333Tr33HN1xhlnqL29XatXr9bcuXMlSbfeeqsuvvhi7d69u/t6AAAAIN3owQMkVVdXy+v19gprkydPVmlpqUKhkCRp9uzZ3edmzpwpSdq3b19qCwUAAAAGQMADJI0fP14dHR2qra3tPlZfX6+mpiaddtppkqQtW7Z0n9u2bZskacqUKaktFAAAABgAAQ+QtGjRIi1YsEBXXXWVqquru+fYLViwQEuXLtVb3/pWXXfdddq4caOqq6v1jW98Q2effbaqqqrSXToAAADQjYAHSHI6nfrxj3+syZMn69Of/rQuv/xyVVZW6sc//rEcDodWr16tpUuX6jOf+Yw+9rGPac6cObr99tvTXTYAAADQC4usAF3Ky8v7DW25ubm68cYbdeONN6a2KAAAAGAY6MEDAAAAgCxBwAMAAACALEHAAwAAAIAsQcADAAAAgCxBwAMAAACALMEqmkASBSNR7ahvVVNnSJGYVX6OU1OK81VZ6JUxJt3lAQAAIMsQ8IAECkdjeqy6RtUHmlXb1K7a5g61BSJyOCQjo5i1cjodqizwaGpJvqpK83XB/CmaUVaY7tIBAACQBQh4QALsbe7Qrze+oed21amhPShHj965HNebI6Gdih+vbwuqvi2of9Ue1v+8ukeLJpfqLb5JOt83iZ49AAAAjBgBDxiFWMzqwX9u0+9frVEwHJUxple4G6pNexu1obZBa6pr9dVz5mvGuIIkVAsAAIBsxyIrwAhtq2vR53/3vH6x4Q2FIrFR97w5jUOvHWrWF37/T/3she2y1iaoUgAAABwv6MEDRuAfOw9q9drN6ghF5HQkdkhlIBzVz1/coZ0Nbbrx/IVyOvg9DAAAAIaGb47AMD2z86C+9X/V6ghFktaGwxg9s/Ogvv6XTYrF6MkDAADA0BDwgGHYvL9J3167WcFINOltOYzR87vq9O211UlvCwAAANmBgAcMUSQa0/ee2pzUnrujOYzR317fr/97fX/K2gQAAMDYRcADhujeZ/3a2dCW8naNpJ8897paA6GUtw0AAICxhYAHDMFrB5v1+JbaEW2BkAj1bQF976mtaWkbAAAAYwcBDxiCR1/epUg0fYudGGP03K46NXYE01YDAAAAMh8BDxhEezCsf+5uSHcZCkWi+tW/3kh3GQAAAMhgBDxgEL/dtFsdoXC6y5AxRv944xDbJgAAAKBfBDxgEK/ub5RJ09y7o+1p6tDrdS3pLgMAAAAZioAHDMBaq9rm9nSX0c3lMPpXbfqHiwIAACAzEfCAARxs7dTBtsxZ2MQYo5qmzAmcAAAAyCwEPGAAL+5pyLgPyb7mznSXAAAAgAyVad9dgYzSEYqmbe+7/nSGo+kuAQAAABmKgAcMIBqLpbuEY0Rt5tUEAACAzEDAAwbgdGTeR8SdgTUBAAAgM/BNERjA+EKvohm271yh153uEgAAAJChCHjAAJZMGSe3M7M+JlXFeekuAQAAABkqs765Ahmm0OvWxKLcdJfRLWatppcVpLsMAAAAZCgCHjCIqpL8dJfQy/JpFekuAQAAABmKgAcMYsXMioxZuXL+hBKNz6AeRQAAAGQWAh4wiPN9kzWpKP3z3qIxq3+bPSHdZQAAACCDEfCAQTgcRmdMr5S16V1Ns7zAqwsWVKW1BgAAAGQ2Ah4wBB9dOlPjCrxpaz9mrS6cPznjVvQEAABAZuHbIjAERbk5+uSy2WnrxZs/oUQfWTorLW0DAABg7CDgAUN0/tzJOj0NQzW9bqe+smq+jDEpbRcAAABjDwEPGIavnTtfU0tTt22CMUafOX2OZoxj7zsAAAAMjoAHDEOhN0ffvWCJJhXnJr0nzxijTy6frQsXTE1qOwAAAMgeBDxgmCoKc3Xnu07VrPIixZIU8txOh/5jhU8fWDwjKfcHAABAdiLgASMwLt+r+967TO9eOE0uZ+LmxsWs1ezyQt35rqW6+CR67gAAADA8rnQXAIxVLqdDX1w5V6tmjdc9z/jlP9Qsp2NkYc9aq3yPW++YN1mfWj5HTge/ewEAAMDwEfCAUTppUql+9L5lerGmXmu21OrFmgYFI1E5hrDqZTQW08xxhVo5c7wuWTxdeTl8JAEAADByfJsEEsAYo9OmVei0aRVq7AjqqR0Htetwm/Y0tmtfS6eC0ZistXI5HCrJzVFVaZ6mluTr5EmlWjS5jC0QAAAAkBAEPCDBSvM8ehfz5wAAAJAGTPQBAAAAgCxBwAMAAACALEHAAwAAAIAsQcADAAAAgCxBwAMAAACALEHAAwAAAIAsQcADAAAAgCxBwAMAAACALEHAAwAAAIAsQcADAAAAgCxBwAMAAACALEHAAwAAAIAsQcADAAAAgCzhSncBPp8vX9IvJZVKCkn6mN/v35veqgAAAABg7MmEHrxPSdrg9/vPkvSIpKvTXA8AAAAAjElp78Hz+/13+nw+Z9cfp0pqSmc9AAAAADBWGWttyhrz+XyXS7riqMOX+f3+F30+31pJJ0l6i9/v39TfPTZs2DBd0hvJqxIAAAAAxoQZS5Ys2dXzQEp78Px+/4OSHuzn3L/5fL65kh6XNGuwey1YsEAejyfBFSJVNmzYoCVLlqS7DKQAz/r4wvM+vvC8jy887+MHzzrzBYNBVVdX93ku7XPwfD7ftT6f7yNdf2yTFE1nPQAAAAAwVqV9Dp6kn0p6qGv4plPSZWmuBwAAAADGpLQHPL/ff1DSW4fxEqckhUKh5BSElAkGg+kuASnCsz6+8LyPLzzv4wvP+/jBs85sPbKQ8+hzKV1kJRE2bNiwQtL6dNcBAAAAAGm2csmSJc/0PJD2HrwReFHSSkn7xXw9AAAAAMcfp6SJimejXsZcDx4AAAAAoG9pX0UTAAAAAJAYBDwAAAAAyBIEPAAAAADIEgQ8AAAAAMgSBDwAAAAAyBJjcZsEZDCfz+eQdK+kkyUFJX3S7/dv73H+U5I+Iyki6Zt+v/9PPp+vXNIvJeVK2ifpMr/f35Hy4jFsI3zeUyX9VPGfP0bSp/1+vz/lxWPYRvK8e5w7W9Ijfr+/KrVVY6RG+PnOl3SfpBmSciR90e/3v5Dy4jEso/hZ/rDiP8cPS/oQ/+8eGwZ73l3XVEj6h6SFfr8/4PP5ciU9IqlSUqukj/n9/rrUVo6hogcPifYuSV6/33+6pK9JuuPICZ/PN0HSlySdKel8Sbf5fD6PpG9I+qXf718paaPi/xPB2DCS532LpHv8fv8qSbdKui3VRWPERvK85fP5qiRdKcmd8ooxGiN53ldJqu76ef4pSb6UV42RGMmzvkLSb/x+/1mSNku6POVVY6T6fd6S5PP5zpf0v5Im9Dj8OUmvdn22fy7p6ymqFSNAwEOirZD0hCT5/f7nJS3tce40Sf/w+/1Bv9/fLGm7pIU9XyPpL5LOS125GKWRPO+vSHq86xqXpEDqysUoDft5+3w+r6QfSfp8qovFqI3k832+pJDP5/urpP8n6a+pLRkjNJJnvUlSadc1RZLCqSsXozTQ85akmOLfxQ739RrxXS3jEfCQaEWSmnv8Oerz+Vz9nGuVVHzU8SPHMDYM+3n7/f56v98f9vl8Pkm3S7opNaUiAUby+b5H0u1+v39vakpEAo3keZdLKvX7/edLWqP4ZxyZbyTPulbSF3w+32ZJb5P0aCoKRUIM9Lzl9/v/5vf7GwZ4Dd/VMhwBD4nWIqmwx58dfr8/0s+5QklNRx0/cgxjw0iet3w+3zmS/ijpI8y/G1OG+7xDklZKusHn862TVObz+X6dikKRECP5fDdIeqzr2Bod2zOAzDSSZ/1dSR/3+/3zJf2n4sP2MDYM9LyH8hq+q2U4Ah4S7R+S3i5JPp9vuaRXe5x7QdJKn8/n9fl8xZJOlFTd8zWK/xZwferKxSgN+3l3hbsfSHqr3+9/KdUFY1SG+7xf8Pv9Pr/fv6przuVhv9//gVQXjREbyc/zZ/Tmz/Mjc7OQ+UbyrBv1Zo/OPr05XBOZb6DnPehrxHe1jGestemuAVmkx8pMCxVfWesyxX8gbPf7/Y91rcT1acV/uXCr3+//nc/nGy/pIcV/I1Sv+Epc7Wl5AxiWET7vlyV5JB3ouo3f7/ezsM4YMJLnfdTrD/j9/gnCmDDCz3eZpAckTVR8TtZH/X7/rnTUj6Eb4bOep/gQbGfXa/7T7/dvTMsbwLAM9rx7XLdL0tyuVTTzFP+uNlHx0Rkf8vv9B4SMRMADAAAAgCzBEE0AAAAAyBIEPAAAAADIEgQ8AAAAAMgSBDwAAAAAyBIEPAAAAADIEgQ8AEDGMcasM8b8qZ9zq4wx1hjT7ybaxphdxph7klchAACZiYAHAAAAAFmCgAcAAAAAWYKABwA4Lhlj8o0xdxtjDhpjOruGhS7uOpdnjGkzxlx31Gvmdw0PPbfrz5XGmJ8bYw53Xf+YMWZGj+tvNMa8ZIz5vjGmxRizsev4RGPMT40x+4wx4a5/32mM8fR4bZkx5mFjTKMxpsEY821jzM+MMet6XOMyxtxsjKkxxgS62jo3yX91AIAM5kp3AQAA9MMYY/r6/5QzETeW9JikhZKuk7Rf0hckrTPGnGKt3WGMeUzSeyXd2uOll3Rd+6QxJlfSk5JyJX1RUoekayU9bYxZaK1t7HrNyZJaJF0syWuMcUh6QpKV9B+SmiWdL+lqSTsk3d1V3xpJMyX9p6RWSTdLmiPp+R713C/p/ZK+IWmzpEsl/cUYs8pa++xo/54AAGMPAQ8AkKneLimcpHv/u6R/k/QWa+3/SZIx5gnFQ9L1kj4h6ZeS1hhjZllrd3S97n2SfmutjRljPirJJ2mBtfa1rnv8XdJuxQPfzV2vcUn6irX2SO9dlaRGSV+y1r7Sdc1aY8xbJZ0t6W5J50k6Q9I51tp1Xa/7p6SdR96AMWaupI9L+pS19oGuw08YYyZK+mbX+wMAHGcYogkAyFTPSDq1j38+m4B7n6N4j9tTXcMcj/zC838lHRni+FdJDYqHOhljFkqaK+lXPe6xTdL2HvfokLS+xz2OeP3If1hr91hrV0mqNsbMMca8o2so6HhJR4ZorpLUdCTcdb1un6SevXKruv795yPtd9XwZ0krjDE5w/srAQBkA3rwAACZqtla+9LRB40xBQm49zhJeZJCfZwLS5K1NmyM+W/FA95qxYdC7rDW/rPHPeaq717GbT3+u91a297zpDHmcknfUjzU7Zf0T0mdkkzXJeWS6vu470FJE3u0L0l7+36LKpe0r59zAIAsRcADAByPmiUdkvSOQa77laTPGGOmKx70fn3UPV6W9Mk+Xhfs74bGmLMVnzt3i6R7rLV1Xcdf6HHZXkkVfby857FmxefxnSEp0se1fQVEAECWY4gmAOB49IziYanNWvvSkX8kfVjxhUqOeFpSreILoJygN4dnHrnHDEm7erx+g6QrJL1zgLaXKx7Mvtkj3E2SdJLe7MFbL6nYGHPWkRcZYyoknX5U+0ZS0VHv4byuGvoKfQCALEcPHgAgW51sjPlyH8d/rfgKlS8qPn/tJkk1iq+Y+Xn1mONnrbXGmF8rHphesdZu7nGfn0r6kqS/GWNuk3RY0qclvUfSBQPU9aLiv2C90xjzqKSpii/s4lF82KistU8aY9ZL+qUx5muKr6L5dUleSbGuazYZY34n6RFjzI2Stio+L+/rkr5jrY0N5S8JAJBdCHgAgGy1ouufoz1vrT1gjDlf0rclfUdSkeLz5i6z1v7XUdf/UtJX1bv3Ttbalq4etu9K+pHiAa1a0kXW2j/3V5S1dq0x5krFtz/4hOI9hL9VfC7fl40xHmttUPHAebek+xSfK/gjxefptfW43YcVX63zWkmViq/g+TVJt/f/1wIAyGbGWpvuGgAAQA9dm6WfKun31tpI1zGnpF2SHrXWXpnG8gAAGYwePAAAMo+R9LCktxhjfiUpR/HFXCoUX6AFAIA+scgKAAAZxlq7U9JFkuZJ+qPiQzhLJa2y1m5NZ20AgMzGEE0AAAAAyBL04AEAAABAliDgAQAAAECWIOABAAAAQJYg4AEAAABAliDgAQAAAECW+P8QTaymvlHD9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# model 3\n",
    "est = smf.ols(formula='y ~ x2', data=pd.DataFrame({'x1' : x1, 'y': y})).fit()\n",
    "\n",
    "print(est.summary())\n",
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "fig = sm.graphics.influence_plot(est,ax=ax, criterion=\"cooks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 15. This problem involves the Boston data set, which we saw in the lab for this chapter. We will now try to predict per capita crime rate using the other variables in this data set. In other words, per capita crime rate is the response, and the other variables are the predictors.\n",
    "\n",
    "\n",
    "##### (a) For each predictor, fit a simple linear regression model to predict the response. Describe your results. In which of the models is there a statistically significant association between the predictor and the response? Create some plots to back up your assertions.\n",
    "\n",
    "- All of the predictors have a statisically significant asssociation with the response with the exception of CHAS.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.040\n",
      "Model:                            OLS   Adj. R-squared:                  0.038\n",
      "Method:                 Least Squares   F-statistic:                     20.88\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           6.15e-06\n",
      "Time:                        10:35:06   Log-Likelihood:                -1795.8\n",
      "No. Observations:                 506   AIC:                             3596.\n",
      "Df Residuals:                     504   BIC:                             3604.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      4.4292      0.417     10.620      0.000       3.610       5.249\n",
      "ZN            -0.0735      0.016     -4.570      0.000      -0.105      -0.042\n",
      "==============================================================================\n",
      "Omnibus:                      568.366   Durbin-Watson:                   0.862\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            32952.356\n",
      "Skew:                           5.270   Prob(JB):                         0.00\n",
      "Kurtosis:                      41.103   Cond. No.                         28.8\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.164\n",
      "Model:                            OLS   Adj. R-squared:                  0.162\n",
      "Method:                 Least Squares   F-statistic:                     98.58\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           2.44e-21\n",
      "Time:                        10:35:06   Log-Likelihood:                -1760.9\n",
      "No. Observations:                 506   AIC:                             3526.\n",
      "Df Residuals:                     504   BIC:                             3534.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -2.0509      0.668     -3.072      0.002      -3.362      -0.739\n",
      "INDUS          0.5068      0.051      9.929      0.000       0.407       0.607\n",
      "==============================================================================\n",
      "Omnibus:                      585.528   Durbin-Watson:                   0.990\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            41469.710\n",
      "Skew:                           5.456   Prob(JB):                         0.00\n",
      "Kurtosis:                      45.987   Cond. No.                         25.1\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.003\n",
      "Model:                            OLS   Adj. R-squared:                  0.001\n",
      "Method:                 Least Squares   F-statistic:                     1.546\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):              0.214\n",
      "Time:                        10:35:06   Log-Likelihood:                -1805.3\n",
      "No. Observations:                 506   AIC:                             3615.\n",
      "Df Residuals:                     504   BIC:                             3623.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      3.7232      0.396      9.404      0.000       2.945       4.501\n",
      "CHAS          -1.8715      1.505     -1.243      0.214      -4.829       1.086\n",
      "==============================================================================\n",
      "Omnibus:                      562.698   Durbin-Watson:                   0.822\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            30864.755\n",
      "Skew:                           5.205   Prob(JB):                         0.00\n",
      "Kurtosis:                      39.818   Cond. No.                         3.96\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.174\n",
      "Model:                            OLS   Adj. R-squared:                  0.173\n",
      "Method:                 Least Squares   F-statistic:                     106.4\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           9.16e-23\n",
      "Time:                        10:35:06   Log-Likelihood:                -1757.6\n",
      "No. Observations:                 506   AIC:                             3519.\n",
      "Df Residuals:                     504   BIC:                             3528.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept    -13.5881      1.702     -7.986      0.000     -16.931     -10.245\n",
      "NOX           30.9753      3.003     10.315      0.000      25.076      36.875\n",
      "==============================================================================\n",
      "Omnibus:                      591.496   Durbin-Watson:                   0.994\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            42994.381\n",
      "Skew:                           5.544   Prob(JB):                         0.00\n",
      "Kurtosis:                      46.776   Cond. No.                         11.3\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.048\n",
      "Model:                            OLS   Adj. R-squared:                  0.046\n",
      "Method:                 Least Squares   F-statistic:                     25.62\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           5.84e-07\n",
      "Time:                        10:35:06   Log-Likelihood:                -1793.5\n",
      "No. Observations:                 506   AIC:                             3591.\n",
      "Df Residuals:                     504   BIC:                             3600.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     20.5060      3.362      6.099      0.000      13.901      27.111\n",
      "RM            -2.6910      0.532     -5.062      0.000      -3.736      -1.646\n",
      "==============================================================================\n",
      "Omnibus:                      576.890   Durbin-Watson:                   0.883\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            36966.825\n",
      "Skew:                           5.361   Prob(JB):                         0.00\n",
      "Kurtosis:                      43.477   Cond. No.                         58.4\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.123\n",
      "Model:                            OLS   Adj. R-squared:                  0.121\n",
      "Method:                 Least Squares   F-statistic:                     70.72\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           4.26e-16\n",
      "Time:                        10:35:06   Log-Likelihood:                -1772.9\n",
      "No. Observations:                 506   AIC:                             3550.\n",
      "Df Residuals:                     504   BIC:                             3558.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -3.7527      0.944     -3.974      0.000      -5.608      -1.898\n",
      "AGE            0.1071      0.013      8.409      0.000       0.082       0.132\n",
      "==============================================================================\n",
      "Omnibus:                      575.090   Durbin-Watson:                   0.960\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            36851.412\n",
      "Skew:                           5.331   Prob(JB):                         0.00\n",
      "Kurtosis:                      43.426   Cond. No.                         195.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.143\n",
      "Model:                            OLS   Adj. R-squared:                  0.141\n",
      "Method:                 Least Squares   F-statistic:                     83.97\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.27e-18\n",
      "Time:                        10:35:06   Log-Likelihood:                -1767.1\n",
      "No. Observations:                 506   AIC:                             3538.\n",
      "Df Residuals:                     504   BIC:                             3547.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      9.4489      0.731     12.934      0.000       8.014      10.884\n",
      "DIS           -1.5428      0.168     -9.163      0.000      -1.874      -1.212\n",
      "==============================================================================\n",
      "Omnibus:                      577.090   Durbin-Watson:                   0.957\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            37542.100\n",
      "Skew:                           5.357   Prob(JB):                         0.00\n",
      "Kurtosis:                      43.815   Cond. No.                         9.32\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.387\n",
      "Model:                            OLS   Adj. R-squared:                  0.386\n",
      "Method:                 Least Squares   F-statistic:                     318.1\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.62e-55\n",
      "Time:                        10:35:06   Log-Likelihood:                -1682.3\n",
      "No. Observations:                 506   AIC:                             3369.\n",
      "Df Residuals:                     504   BIC:                             3377.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -2.2709      0.445     -5.105      0.000      -3.145      -1.397\n",
      "RAD            0.6141      0.034     17.835      0.000       0.546       0.682\n",
      "==============================================================================\n",
      "Omnibus:                      654.232   Durbin-Watson:                   1.336\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            74327.568\n",
      "Skew:                           6.441   Prob(JB):                         0.00\n",
      "Kurtosis:                      60.961   Cond. No.                         19.2\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.336\n",
      "Model:                            OLS   Adj. R-squared:                  0.335\n",
      "Method:                 Least Squares   F-statistic:                     254.9\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           9.76e-47\n",
      "Time:                        10:35:06   Log-Likelihood:                -1702.5\n",
      "No. Observations:                 506   AIC:                             3409.\n",
      "Df Residuals:                     504   BIC:                             3418.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -8.4748      0.818    -10.365      0.000     -10.081      -6.868\n",
      "TAX            0.0296      0.002     15.966      0.000       0.026       0.033\n",
      "==============================================================================\n",
      "Omnibus:                      634.003   Durbin-Watson:                   1.252\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            63141.063\n",
      "Skew:                           6.134   Prob(JB):                         0.00\n",
      "Kurtosis:                      56.332   Cond. No.                     1.16e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.16e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.083\n",
      "Model:                            OLS   Adj. R-squared:                  0.081\n",
      "Method:                 Least Squares   F-statistic:                     45.67\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           3.88e-11\n",
      "Time:                        10:35:06   Log-Likelihood:                -1784.1\n",
      "No. Observations:                 506   AIC:                             3572.\n",
      "Df Residuals:                     504   BIC:                             3581.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept    -17.5307      3.147     -5.570      0.000     -23.714     -11.347\n",
      "PTRATIO        1.1446      0.169      6.758      0.000       0.812       1.477\n",
      "==============================================================================\n",
      "Omnibus:                      568.808   Durbin-Watson:                   0.909\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            34373.378\n",
      "Skew:                           5.256   Prob(JB):                         0.00\n",
      "Kurtosis:                      41.985   Cond. No.                         160.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.142\n",
      "Model:                            OLS   Adj. R-squared:                  0.141\n",
      "Method:                 Least Squares   F-statistic:                     83.69\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.43e-18\n",
      "Time:                        10:35:06   Log-Likelihood:                -1767.2\n",
      "No. Observations:                 506   AIC:                             3538.\n",
      "Df Residuals:                     504   BIC:                             3547.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     16.2680      1.430     11.376      0.000      13.458      19.078\n",
      "B             -0.0355      0.004     -9.148      0.000      -0.043      -0.028\n",
      "==============================================================================\n",
      "Omnibus:                      591.626   Durbin-Watson:                   1.001\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            43282.465\n",
      "Skew:                           5.543   Prob(JB):                         0.00\n",
      "Kurtosis:                      46.932   Cond. No.                     1.49e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.49e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.205\n",
      "Model:                            OLS   Adj. R-squared:                  0.203\n",
      "Method:                 Least Squares   F-statistic:                     129.6\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           7.12e-27\n",
      "Time:                        10:35:06   Log-Likelihood:                -1748.2\n",
      "No. Observations:                 506   AIC:                             3500.\n",
      "Df Residuals:                     504   BIC:                             3509.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -3.2946      0.695     -4.742      0.000      -4.660      -1.930\n",
      "LSTAT          0.5444      0.048     11.383      0.000       0.450       0.638\n",
      "==============================================================================\n",
      "Omnibus:                      600.766   Durbin-Watson:                   1.184\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            49637.173\n",
      "Skew:                           5.638   Prob(JB):                         0.00\n",
      "Kurtosis:                      50.193   Cond. No.                         29.7\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "boston = datasets.load_boston()\n",
    "boston_df = pd.DataFrame(boston.data, columns=boston.feature_names)\n",
    "indi = boston_df.columns.drop('CRIM')\n",
    "dep = 'CRIM'\n",
    "for v in indi:\n",
    "    print(smf.ols(formula='CRIM ~ {}'.format(v), data=boston_df).fit().summary())\n",
    "    \n",
    "# ZN            -0.0735      0.016     -4.570      0.000      -0.105      -0.042\n",
    "# INDUS          0.5068      0.051      9.929      0.000       0.407       0.607\n",
    "# CHAS          -1.8715      1.505     -1.243      0.214      -4.829       1.086\n",
    "# NOX           30.9753      3.003     10.315      0.000      25.076      36.875\n",
    "# RM            -2.6910      0.532     -5.062      0.000      -3.736      -1.646\n",
    "# AGE            0.1071      0.013      8.409      0.000       0.082       0.132\n",
    "# DIS           -1.5428      0.168     -9.163      0.000      -1.874      -1.212\n",
    "# RAD            0.6141      0.034     17.835      0.000       0.546       0.682\n",
    "# TAX            0.0296      0.002     15.966      0.000       0.026       0.033\n",
    "# PTRATIO        1.1446      0.169      6.758      0.000       0.812       1.477\n",
    "# B             -0.0355      0.004     -9.148      0.000      -0.043      -0.028\n",
    "# LSTAT          0.5444      0.048     11.383      0.000       0.450       0.638"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x13378f278>"
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x180 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(boston_df, y_vars=[dep], x_vars=indi)\n",
    "g.map(sns.regplot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (b) Fit a multiple regression model to predict the response using all of the predictors. Describe your results. For which predictors can we reject the null hypothesis H0 : βj = 0?\n",
    "\n",
    "- DIS, RAD, B, LSTAT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>CRIM</td>       <th>  R-squared:         </th> <td>   0.436</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.422</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   31.77</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sat, 08 Sep 2018</td> <th>  Prob (F-statistic):</th> <td>6.16e-54</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:07:28</td>     <th>  Log-Likelihood:    </th> <td> -1661.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   506</td>      <th>  AIC:               </th> <td>   3348.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   493</td>      <th>  BIC:               </th> <td>   3403.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>    12</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "     <td></td>        <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>   <td>   10.3701</td> <td>    7.012</td> <td>    1.479</td> <td> 0.140</td> <td>   -3.408</td> <td>   24.148</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ZN</th>      <td>    0.0365</td> <td>    0.019</td> <td>    1.936</td> <td> 0.053</td> <td>   -0.001</td> <td>    0.073</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>INDUS</th>   <td>   -0.0672</td> <td>    0.085</td> <td>   -0.794</td> <td> 0.428</td> <td>   -0.233</td> <td>    0.099</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHAS</th>    <td>   -1.3049</td> <td>    1.185</td> <td>   -1.101</td> <td> 0.271</td> <td>   -3.633</td> <td>    1.023</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>NOX</th>     <td>   -7.2552</td> <td>    5.250</td> <td>   -1.382</td> <td> 0.168</td> <td>  -17.570</td> <td>    3.060</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>RM</th>      <td>   -0.3851</td> <td>    0.575</td> <td>   -0.670</td> <td> 0.503</td> <td>   -1.515</td> <td>    0.745</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>AGE</th>     <td>    0.0019</td> <td>    0.018</td> <td>    0.105</td> <td> 0.917</td> <td>   -0.034</td> <td>    0.038</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DIS</th>     <td>   -0.7163</td> <td>    0.273</td> <td>   -2.626</td> <td> 0.009</td> <td>   -1.252</td> <td>   -0.180</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>RAD</th>     <td>    0.5395</td> <td>    0.088</td> <td>    6.128</td> <td> 0.000</td> <td>    0.366</td> <td>    0.712</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>TAX</th>     <td>   -0.0013</td> <td>    0.005</td> <td>   -0.254</td> <td> 0.799</td> <td>   -0.011</td> <td>    0.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>PTRATIO</th> <td>   -0.0907</td> <td>    0.180</td> <td>   -0.504</td> <td> 0.615</td> <td>   -0.445</td> <td>    0.263</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>B</th>       <td>   -0.0089</td> <td>    0.004</td> <td>   -2.428</td> <td> 0.016</td> <td>   -0.016</td> <td>   -0.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>LSTAT</th>   <td>    0.2309</td> <td>    0.069</td> <td>    3.346</td> <td> 0.001</td> <td>    0.095</td> <td>    0.366</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>680.813</td> <th>  Durbin-Watson:     </th> <td>   1.507</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>94712.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 6.846</td>  <th>  Prob(JB):          </th> <td>    0.00</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td>68.611</td>  <th>  Cond. No.          </th> <td>1.51e+04</td> \n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 1.51e+04. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                   CRIM   R-squared:                       0.436\n",
       "Model:                            OLS   Adj. R-squared:                  0.422\n",
       "Method:                 Least Squares   F-statistic:                     31.77\n",
       "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           6.16e-54\n",
       "Time:                        11:07:28   Log-Likelihood:                -1661.2\n",
       "No. Observations:                 506   AIC:                             3348.\n",
       "Df Residuals:                     493   BIC:                             3403.\n",
       "Df Model:                          12                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const         10.3701      7.012      1.479      0.140      -3.408      24.148\n",
       "ZN             0.0365      0.019      1.936      0.053      -0.001       0.073\n",
       "INDUS         -0.0672      0.085     -0.794      0.428      -0.233       0.099\n",
       "CHAS          -1.3049      1.185     -1.101      0.271      -3.633       1.023\n",
       "NOX           -7.2552      5.250     -1.382      0.168     -17.570       3.060\n",
       "RM            -0.3851      0.575     -0.670      0.503      -1.515       0.745\n",
       "AGE            0.0019      0.018      0.105      0.917      -0.034       0.038\n",
       "DIS           -0.7163      0.273     -2.626      0.009      -1.252      -0.180\n",
       "RAD            0.5395      0.088      6.128      0.000       0.366       0.712\n",
       "TAX           -0.0013      0.005     -0.254      0.799      -0.011       0.009\n",
       "PTRATIO       -0.0907      0.180     -0.504      0.615      -0.445       0.263\n",
       "B             -0.0089      0.004     -2.428      0.016      -0.016      -0.002\n",
       "LSTAT          0.2309      0.069      3.346      0.001       0.095       0.366\n",
       "==============================================================================\n",
       "Omnibus:                      680.813   Durbin-Watson:                   1.507\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            94712.935\n",
       "Skew:                           6.846   Prob(JB):                         0.00\n",
       "Kurtosis:                      68.611   Cond. No.                     1.51e+04\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 1.51e+04. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sm.OLS(boston_df[dep], sm.add_constant(boston_df[indi])).fit().summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (c) How do your results from (a) compare to your results from (b)? Create a plot displaying the univariate regression coefficients from (a) on the x-axis, and the multiple regression coefficients from (b) on the y-axis. That is, each predictor is displayed as a single point in the plot. Its coefficient in a simple linear regres- sion model is shown on the x-axis, and its coefficient estimate in the multiple linear regression model is shown on the y-axis.\n",
    "\n",
    "- In 11 (all except CHAS) of the predictors had statistically significant coefficeints. In (b) only 4 of the predictors had statistically significant coefficeints: DIS, RAD, B and  LSTAT.\n",
    "\n",
    "- The NOX coefficient is dramatically different; it is large and positive in the univarate regression, large and negative in the multivariate regression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127935748>"
      ]
     },
     "execution_count": 394,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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//OMfTJ48mRtvvJHk5GSMRiMvv/xyULGFU1wmfYDGCTYev+Aihv7mAsqdLhpYLDSyWLGY5CUnQsS6c3t7q2n+vGcN5cfysCW3pnlaP197sNLT0/nXv/5Vrf3k6pt33nnnKc+RmZlJZmYmQI3evBVpcZv0AZItVpJlZC9EnWM0mlGXPU2nHsPJ2byajB79gx7hx5uozOkrpW5WSp3+HWRCCHEGJksiJlsLSfgBiPhIXyn1OnA1EP21S0IIEWcMx9/zGilKqduBAuAPWus7TvfZnJycNODHSMQlhBD1UIeMjIw9VRtqbaSvlBoCjDyp+X6t9TtKqf6BnCs9PZ2EhISwxRYu0XzlWbDqYsxQN+OWmCNDYq7ObreTm1v9AVSoxaSvtZ4BzKit8wshhAhcXD6cJYSoHxzOMsorCnA4Q6+yuWnTJjIyMsjLy/O1vfLKK7z77ruUlJTw4osvcvfdd3PPPffw8MMP8+OP3pnn9evXc/3112O3eyv1Hjx4kOuvv56DB/0/NRxtcZf03W4n9hLvY9wVZYejHY4QIghut5P1X77CO0tuZfvucbyz5FbWf/kKbrf/8io1ZbVaGTt2LCff6xw/fjxnn302c+fOZc6cOYwYMYLhw4dz9OhRLrvsMvr06cOf//xnHA4HI0eOZMyYMbRs6f+p4WiLStLXWq8+003c2uCwF5OnP2TjottZNzeTr5Y+ytFDO3G7QvuHIoSIrA1bXmO7nsexEm+VzWMleWzX89iwJfgqmwC9evWiUaNGzJ0719dWVFTEjh07yMrK8rV16dKFAQMG8OmnnwIwcuRIvvnmG4YNG8all17KZZddFlIctSmuRvpHC7/nu7Uv4Sj/xbt9SPPlh0NxlBdFOTIhRE05nGX8uH+V33179q8OeapnwoQJzJo1i7179wLel6GcXH0ToF27dhw4cAAAi8XC7bffzoYNGxg0qPp7umNJ3CR9R8Ux9m6t/ni1q+IYxT9/6+cIIUQsKi0r5FiJ//nyYyUHKS0rDOn8TZo04dlnn2X06NG43W4cDocvuVe1d+9eWrduDcD+/fv55z//yahRoxg1ahQulyukGGpT3CR9g8eDx+3/P8Sp2oUQsadBYirJSf7ny5OTWtIgMbgqm1VdfvnldOjQgffee49WrVrRvn37E6Z8vvnmG1auXMnAgQOpqKhg5MiRPPvss9x33320bt2a//f//l/IMdSWuEn65oSGtE2vfhvBaEogpWV6FCISQgTDYk6kQ9sBfvelte2PxRyekgzPPfccNpsNgMmTJ7Nz504GDx7MHXfcweuvv86bb75JSkoKkydPJiMjg379+gHe6aGlS5eyadOmsMQRbnFVcK1xq26cc/HD7Pl6Fm5nObbkVqRf8WcsttO/QF0IEVt6X+Stprln/2qOluTTMKkVaW37+9qD0bNnT3r27OnbTk5OZtWqX+8dTJgwwe9x48ePP2E7OTnZd4M3FsVV0rfaGnN21yzO6nIjbpcDozkBa2JTDIa4+cIjRL1gNJq57OKn6dF9OJu/WE2PS8I3wq/v4irpA5gsNkwWW7TDEEKEgcWciM3aQhJ+AGSIK4QQcUSSvhBCxBFJ+kIIEUck6QshRByJuxu5Qoj6w+4s47CzALuzjIQQb+Zu2rSJESNG0KlTJwBKSkpo27YtI0eO5JprruGpp57ioYce8n3+4YcfpqSkhOzs7JD6jTRJ+kKIOsfldjLr29fYnLeKgrJ8Fq1qRY/WA7jvvBGYjMGntV69ejF16lTf9lNPPcXKlStp3749n3zyiS/pFxUVsXfvXlJTQ3/6N9JkekcIUefM+vY1luyeR0GZt8pmQVkeS3bPY9a3oVXZrKqiooKCggJSUlJo0qQJzZo144cffgDgo48+4pprrglbX5EkSV8IUafYnWVszvNfZXNz3mrsIVTZ3LhxI1lZWWRmZjJo0CCuuuoqevfuDcDvfvc7li5dCsCKFSu48sorg+4nmiTpCyHqlMP2Qn4u819ls7DsIIftwVfZ7NWrF9nZ2cydOxeLxULbtm19+6688kpWrlzJ/v37ad68ua8uT10jSV8IUac0TUileaL/KpupiS1pmhD6PHuTJk2YMmUK48aN4+effwYgKSmJDh06MGXKFK677rqQ+4iWiCZ9pVQjpdR/lFJrlFIblFK9I9m/EKLuSzAn0qO1/yqbPVr3D3kVz3GdOnUiKyuLmTNn+tquv/56cnJyfFM+dVGkV+88CazQWr+mlFLAfOCiCMcghKjj7jvPW01zc95qfi7Lp3liK3q07u9rD8bJVTYBhg0bdsL25ZdfzuWXXw5Ax44d69xyTYh80p8K2Kv0XR7h/oUQ9YDJaGZI+tPc02U4a3NW0zcjfCP8+s5w8lvfw0UpNQQYeVLz/VrrL5RSrYCPgBFa6zWnOkdOTk4a8GOtBCiEEPVfh4yMjD1VG2ptpK+1ngHMOLldKXUB8G/g6dMl/KrS09NJSEgIc4Shy8nJISMjI9phBKQuxgx1M26JOTIk5ursdju5ubl+99U46SulOgK9gHnA34ELgZFa63UBnOM8YCFwu9Z6a02PE0IIER6BrN6ZCVQANwKd8d6UfSXA/iYCNuB1pdRqpdQHAR4vhBAiBIFM79i01guVUv8E5mqtP1NKWQLpTGt9Y2DhCSGECKdAkr5LKXULcB0wXil1E+CqnbCEEOLMyp0OfnaWUu50YDMHNAY9pbfeeovZs2ezYsUK373EpUuXMnfuXABMJhNdunRh1KhRWK1WLr/8clq3bo3R+OvEyejRo0lPTw9LPOF2xqSvlOqktd4FPIR3Nc5wrXWeUuoOYGhtByiEECdzut28nrucNXk7yC87QqsVW+nXujNPpF+J2RjaM6cffvghmZmZLF26lEGDBrFmzRoWLFjA3/72N1JSUvB4PEycOJH333+f2267DYC33347Jheb+FOTkf4CvA9QvaC1vul4o9b6jlqLSgghTuP13OX8e/cXvu28siO+7ae6Dgz6vJs2baJ9+/bccccdjBo1ikGDBpGdnc0zzzxDSkoKAAaDgbFjx2IwGEL7IaKkJknfpZRaB3RVSq08eafW+vLwhyWEEP6VOx2sydvhd9/avB0MP29A0FM9CxcuZPDgwZxzzjlYrVa2bt3K/v37OfvsswH46quvePXVV3E4HLRu3dpXe/+BBx7wTe8YjUZmz54dVP+RUJOkfzne5ZkzgD/VbjhCCHF6hfZjHCw74ndfflkxhfZjtDU3Cfi8R44cYe3atRw+fJjs7GyOHTvGnDlzaN26Nfv376dLly5ceOGFZGdn88MPPzBhwgTfsfVqekdrfRRYq5S6FCgFOgLbgQZa65Jajk8IIU6QmpBMy8RG5PlJ/K0SU0hNSA7qvB9++CG33HILo0ePBqCsrIwrrriCUaNG8fLLL/P666/TsGFDADZv3hz8DxBlgazeuQD4B2ACLgW2KaXu1lp/WiuRCSGEHzazhX6tO58wp39c39adQ5raefnll33biYmJDBw4kIMHD3L77bfzyCOPAN5353bq1IkXXnjB99mq0zsA9957L1dddVVQcdS2QJL+ROC3wEeVq3f64a2SKUlfCBFRT6R731q1Nm8HeWVHaJ3YiL6Vq3eC9eGHH1ZrqzqFc/XVV/s9buXKarc6Y1ogSd+otc73VkQGrfW3x/8uhBCRZDYaearrQIafN4DVORvpn9ErbOv067tAkv5+pdR1gEcp1RgYDvxUO2EJIcSZ2cwWmpsbSMIPQCBPMfwBuBtoB/wAdMf7wJYQQog6osYjfa11gVLqXqBL5XHbtdbOWotMCCFE2NV4pK+UuhjYCcwC3gZ+Ukr1PO1BQgghYkogc/qv462DvwlAKdULmA70qI3AhBBChF8gST/5eMIH0FpvVErZaiEmIYSokXKnk58dFZQ7ndjMob0IcNOmTYwYMYJOnTrh8XhwOp3ce++9ZGZmctlll7F+/XrKy8uZMGECBQUFlJWV0bx5c/70pz/RpEngTwBHSyBX6bBS6kat9QcASqmbgUO1E5YQQpya0+1m2vYtrD2wn/yyElr99yB927Tl8QsuCqnKZq9evXz1dEpKSsjKyqJDhw6+/YsXLyY1NZVJkyYBMGvWLN544w3GjRsX2g8UQYEk/YeAOUqpGYAB7wqerFqJSgghTmPa9i2884P2beeVlfi2n+x2cVj6SEpK4vbbb+fjjz/2taWmprJo0SIuuugievToQVZWFh6PJyz9RUogq3d2KqVuAI7hLcXQorLOfo0ppZLwvmO3Cd5XL/5ea/2/QM4hhIhv5U4naw/s97tvbd5+Hjm/e8hTPcc1a9aMb775xrd99dVXYzAYWLRoEWPHjqVz586MGzeOuvSgaiCrdx7HW4KhBG/S/o9SKtB1+g8COVrrvsAc4JkAjxdCxLnC8jIOlvmv9XiwtITC8rKw9XXgwAFatWrl2/7qq6/o3bs3b775Jp9//jk333wzY8eODVt/kRDI5NdDQB8ArfVeIAN4LJDOtNavAS9VbrYHfgnkeCGESLUl0jIxye++lg2SSLUlhqWfY8eOsXDhQq655hpf29KlS3218k0mE0oprFZrWPqLlEC+A1kAe5XtCuCUk1lKqSF4X69Y1f1a6y8qX8ZyAVCjMnS5ubkBhBlZOTk50Q4hYHUxZqibcUvMtaOL2Uoe1Uf7XUxWvtm6Nahz7tixg3Xr1nHTTTdhNBpxuVxkZmZSVFSEw+EgJyeH/v37M2vWLAYOHEhCQgIJCQnce++9QV2zaF1nQ01vQiilJgO98b4+EWAQsF5rPT6YjpVSXYClWuuOp/pMTk5OGvBjenp6TL6gICcnh4yMjGiHEZC6GDPUzbgl5trjW72Tt5/80hJaNUiib+vQV+9ESm1fZ7vdfnyw3CEjI2NP1X2B3MgdrZS6FegHOIBpWuv3AZRSrbTW+Wc6h1JqLLBfa52N94awq8Y/hRBCVDIbjTzZ7WIeOb87q7/8gv4XXxK2m7f1XUBXSWu9CFjkZ9cyvC9PP5O3gdmVUz8m4P5A+hdCiKpsZjPNLVZJ+AEI15Wq0WvhtdYHgWvO+EEhhBC1IlyTX3Xr6QQhhIhTsX/HQwghRNhI0hdCiDgS0Tl9IYQIp3Kni58dbsqdLmxmU0jnqlplE7wF19q2bcsrr7yC1Wpl2bJlPPvss3zyySe0bNkSgOnTp7NkyRJatGiBy+XCZrPx9NNPc95554X8s9WWQMowfHqa3QE9mSuEEKFwut1M/Wond36ymef3lXDnJ5uZ+tVOnG53SOft1asX2dnZZGdn8+6772KxWFi5ciUACxcuJCsriwULFpxwzH333Ud2djbz5s3jueee48knn8Rut/s7fUwIZHonUSnVzt8OrfW6MMUjhBBnNH3rDyzY9T/yS+14gPxSOwt2/Y/pW38IWx8VFRUUFBTQqFEj9u3bx5EjR3jwwQf54IMPcDgcfo/p2LEj559/fkw/1RzI9E4qsEcpVQCU4Z3S8Witz6mVyIQQwo9yp4u1Bwr97vvsQCHDLjgn6KmejRs3kpWVxaFDhzAajdx222307t2bqVOncsstt5CSkkL37t3573//S2Zmpt9zNGvWjKKioqD6j4RAkr6srxdCRF1heQUFpf6nTw6W2iksr6BtcnBF146/RKWoqIgHHniAtm3b4nK5+M9//sNZZ53FypUrOXLkCHPmzDll0j9w4AADBw4Mqv9ICCTp5wOZQDLeUb4J6AD8sRbiEkIIv1JtVlo0SCDfT+Jv2SCBVFvoVS+bNGnClClTuPfee3nmmWdIT09n2rRpvv1XX30133//fbXjdu7cya5du+jevXvIMdSWQJL+u0ADoBPwGdAX2FAbQQkhxKnYzCb6tkllwa7q71/q0yY15FU8x3Xq1ImsrCw++OAD7rnnnhP23XrrrcydO5cWLVowa9Ysli1bhtFoxGw2M23aNMwxXBYikMgUcC7wOt4aOk/jvw6PEELUqse6eYvzfnagkPxSO60aJNCnTaqvPRg9e/akZ8+eJ7QNGzaMYcOGVfvsgw8++Gssj9WtxYuBrN45qLX2AN8DXbXWB4DYq3cshKj3zEYjIy88l3lX9+CP7ZKYd3UPRl54bp0oqxxtgYz0v1FKTQf+CsxVSrXB+2IVIYT7VKc6AAAWgElEQVSICpvZRHOLMWxTOvEgkF+Lw4AFWutvgf8DWgN31UpUQgghakUgI/3FwByllFVr/SHwYS3FJIQQopYEMtJ/C7gJ2K2U+qdSqn/thCSEEKK21Djpa62Xaq3vwbuC52PgL0qpvbUWmRBCiLAL6Fa3Uuo8YCzwAnAIGFcbQQkhRE2UOz0UVpgpd4b+HqdJkyaRlZXFNddcQ//+/cnKyuLxxx8HYNmyZXTv3p2DBw/6Pv/aa6/x7LPP+rbXrVtHVlYWTqcz5FhqU43n9JVS2wEnMAe4XGudF2ynSqkuwCagpda6PNjzCCHik9Pt4Y0tpXy2r4KDJWfxVv4v9GlnZfhFDTAbg6v0PmbMGADeffdddu/ezdNPP+3bV7XC5vF1+Y8++ij33HOP7xfCxIkTmTlzZkw/mAWB3ci9S2u9PdQOlVIpwF+A2K09KoSIaW9sKWXh98fHiwbyS9y+7ScuTgprX1UrbA4aNIiHH34Yi8WC2WzmlVde4d5776VFixaMGzeOFi1ahLXv2nDGpK+U+ofW+iFgmlKq2ncorfXlNe1MKWUA/gE8C3xQ0+Nyc3Nr+tGIi+USqqdSF2OGuhm3xBx+FW4Dy3/w/5jQil1H6eHRWI3BT/fs2bOH/Px833VYsGABl1xyCTt37qR9+/b8/e9/p3fv3r7Pp6WlsWfPHkwmU0DXLlrXuSYj/b9X/u+EQE6slBoCjDypeS/wb631VqVUjc+Vnp5OQkLsPfybk5NDRkZGtMMISF2MGepm3BJz7fjfURdH9C9+9/3itNC+SzfOahj8w1p79+7F7XaTkZGBy+Vi1KhRnHXWWezatYvi4mI+//xzHn30UQCWL1+Ow+Ggd+/erFu3jieffLJGfdT2dbbb7accLJ8x6Wutj/86ulVrfUKRCaXUbGDNKY6bAcw46fO7gCGVvxBaAZ/iLdwmhBA10izRSIskI/kl1d+S1SLJSLPE8JViWLNmzSkrbCYlJTF58mSys7NJSUnh1ltvpXfv3id8C4hFNZne+SdwDnCxUur8k45tHEhnWutOVc67B4jdotNCiJhkMxvo085aZU7/V33aWbGZw/fK7gULFjB48OAT2m699VZmz57Njh07GDNmDK1atQJgypQpPProoyxatIhmzZqFLYZwq8n0zotAGt7qmn+q0u4EvquFmIQQ4rSGX9QAoHL1jouWSSbf6p1QDRo0yPf3v/3tb9X2V62wWdX555/PqlWrQu6/ttUk6buB3cD1fvYlA4eD6VhrnRbMcUIIYTYaeOLiJP7QvQFrvthGv0u6hnWEX5/VJOmvATx435Z1Mg/eqR8hhIg4m9lAqtUpCT8ANbmR2yESgQghhKh9gTyR+7a/dq31A+ELRwghRG0K5IncqkszLcANeN+iJYQQoo6ocdLXWs+uuq2UmgGsD3tEQgghak0olYF+g/ftWUIIERVOh4eKMgtOhwezJbSbuZs2bWLEiBF06uR9nMhut9OvXz82btwIwHfffUdaWhqJiYnccMMN5Ofns2TJEl+9nV9++YXMzMwTXqQ+YcIEvv76a95//30AtNa8+OKLHD16lB9++IGuXbtiNBoZMmQI27dvJzU1lTvvvJOSkhKmTp3Kd999h8FgIDk5mdGjR9OhQ+i3WAOZ03fjXa1zXCEwJuQIhBAiQG63hy1rKti/y0lJ8Tkc/K6Utp3MXNTPijHIKpsAvXr1YurUqQBUVFRwzTXX8P7775OSkkJWVhYTJkygY8eOAEyfPp377ruPO++80/f5zMxMbrvtNpo1a0ZZWRk5OTl07tyZTZs20bNnT5RSZGdnk5OTw6hRo3j77bd9JWa2b/+1nuX48eO58MILGTfOW73++++/Z/jw4bzzzjs0bNgw6J8PAqun3wpvLZ3nK/+8CbQLqXchhAjCljUV6C1OSooBDJQUg97iZMuairD1cezYMYxGIyZTzer4FBUV4XQ6fUn8o48+onfv3tx8883MnTu3xv0ePnyYHTt2kJWV5Wvr0qULAwYM4NNPPw3sh/AjkOmdpcA24KcqbbI4VggRUU6Hh/27/L+oZP8uF91/G/xUz8aNG8nKysJgMGCxWBg/fjxJSacu1Txr1iyWLl1KXl4eLVu25MUXXyQ5ORnw1uB//vnn6dixIxMmTODgwYO0bNnyjDHs37+fdu2qj6fbtWvHgQMHgvq5qgpoTl9rPSTkHoUQIgRlJZ7KEX51JUc9lJV4aNg4uKRfdXqnJo5P7+Tm5vLkk0+SlpYGwA8//MDOnTuZNGkSAAaDgfnz5zNixIgznrNFixZ+k/vevXt9U0uhCGR6532l1FCl1DlKqfbH/4QcgRBCBCAxyUBSiv99SQ0NJCZFfgIiPT2dBx98kCeffBK3283ChQsZOXIkM2bMYMaMGcyePZvFixdTUXHm6adWrVrRvn37E6aEvvnmG1auXMnAgaHXqAwk6TcCpgIr8K7ZXwOsDjkCIYQIgNlioG0n/5MUbTuZQl7FE6zBgweTnJxMdnY2S5Ys4dprr/Xta9OmDV26dOGTTz6p0bkmT57Mzp07GTx4MHfccQevv/46b775Jikpp/htFwCDx1OzN8wopX4A0rXWZSH3WkM5OTlpwI/yEpXwqYsxQ92MW2KuPb+u3nFRUuwmKcVI206mkFfvREoEX6LSISMjY0/VfYHM6e8GmgARS/pCCOGP0Wjg4gEJdP+thy82beeSnhdEbYRf1wSS9D3At0qpXMA3MRXIO3KFECKczBYD1kSHJPwABJL0X6q1KIQQQkREILV3/L4LVwghRN0RSu2dgCmlDMB+YGdl0wat9dhIxiCEEPEsokkf6Ahs0Vr7e/WiEEKIWhbppJ8BnKWUWoV3FdBIrbWOcAxCiHrCU+HBVGzBU+HBYA1flU2Px0NFRQUTJkzgvPPOC1O0saHG6/QDpZQagrdAW1XDgRZa64VKqd8CU7XWl5zqHMfX6ddKgEKIussNjTY2x7anIeZjFpzJDsrTjnKk18+BPXJaxbfffsvy5ct5/PHHAdi2bRuffPIJo0aNCmPgERfSOv2AaK1nADOqtimlGgDOyv3rlFJtlFIGrfVpf/PIw1nhUxdjhroZt8Rce46+Y6c099eia5ZjViy5zWjZoiUNbw8uVzidTrZs2eL7+Q8ePEiHDh1q5XpE8OGsaiI9vfN/wCHgZaVUN2DfmRK+EEJU5anwUL7Vf5XN8q0ukm8OfqrneJXNiooKvv/+e954441QQo1JkU76k4A5Sqnf4R3x3xfh/oUQdZzriAf3Yf/73Ic9uI54MDcPvcrm7t27ueOOO1i7di02my3YcGNORJO+1roI+F0k+xRC1C+mRgaMTcF9qPo+Y1MDpkbheTo3NTU1LOeJNZEe6QshREgMVgO2bmZKV1af4rF1M4W0iuf49I7RaKSkpIQxY8bUq1E+SNIXQtRBybdaAe8cvuuQG1MzI7ZuJl97MHr27MmGDRvCFWLMkqQvhKhzDCYDDW9PIPlmD1vXb6fbZReEvE4/XgS5olUIIaLPYDXgSnFIwg+AJH0hhIgjkvSFECKOSNIXQog4IklfCCHiiKzeEULUWZ4KF5ZiN54KFwarKaRzbdq0iX//+9++J3IB9u7dy0svvYTT6eTYsWNccsklPPXUU7z99tusWbOG4uJiCgoK6NSpEwCzZs3CZDKxbds27rrrLubNm0fXrl0BeOqppygoKOB///sfLpeL9u3b07lzZ8aPHx9S3IGSpC+EqHM8Lg+OxbtxbTtEp0N2ylfkYOraDMst52AwhW8lz6uvvso999xD37598Xg8PProo6xYsYKhQ4cydOhQv78oABYsWMD9999/QtL/y1/+AsD06dMpLS1l9OjRYYszEJL0hRB1jmPxblyrDgBgADhk921bb+sYtn5SU1N57733SEpKomvXrrz22muYzadPmyUlJWzcuJGlS5dy/fXXc/jwYZo2bRq2mEIlc/pCiDrFU+HCtc1P4R3Ate0QngpX2PoaPXo03bp149VXX+XSSy9l7NixHD169LTHLFu2jKuuuoqEhASuvfZaFi1aFLZ4wkGSvhCiTvEcqYDDdv87D9u9+8Nk48aN3HfffcydO5fVq1fToEED3nzzzdMes3DhQr7++muGDBnCl19+yTvvvIPb7Q5bTKGS6R0hRJ1iaGSFpglwyE/ib5rg3R8mU6ZMwWaz0aNHD5KSkujQoQNFRUWn/LzWGpfLxYIFC3xt999/P6tWreKKK64IW1yhkKQvhKhTDFYTpq7NfHP4VZm6NgtpFc/69esZNGiQb3vKlClMnjyZSZMmYbVaadu2LRMmTDjl8QsXLuTGG288oW3w4MHMnTtXkr4QQgTLcss5QOUc/iE7hmYJvtU7werZsyebN2+u1j5z5szTHtOzZ0/f9rhx46p9JjMzk8zMTN/2Y489Rk5OTtBxhkqSvhCizjGYDFhv64jnpjS2r9/CBZddFPI6/XgR0aSvlDIBrwIXAwnABK31kkjGIISoPwxWE44UoyT8AER69U4WYNFaXwbcCHSKcP9CCBHXIj29czWQq5RaiveZisci3L8QQsQ1g8fjqZUTK6WGACNPav4Z2AM8APQFXtBa9z3VOXJyctKAH2slQCGEqP86ZGRk7KnaUGsjfa31DGBG1Tal1L+BJVprD7BGKdW5JudKT08nISGhFqIMTU5ODhkZGdEOIyB1MWaom3FLzJEhMVdnt9vJzc31uy/Sc/rrgEwApVQ34KcI9y+EEHEt0kn/LcCglNoI/AN4OML9CyFEXIvojVyttR3vfL4QQogokIJrQggRRyTpCyFEHJGkL4QQcUSSvhBCxBFJ+kIIEUck6QshRByRpC+EEHFEkr4QQsQRSfpCCBFHJOkLIUQckaQvhBBxRJK+EELEEUn6QggRRyTpCyFEHJGkL4QQcUSSvhBCxBFJ+kIIEUck6QshRByJ6OsSlVJjgGsqNxsDrbTWrSIZgxBCxLNIvyN3EjAJQCm1BHgmkv0LIUS8M3g8noh3qpQaBNystc463edycnLSgB8jEpQQQtQ/HTIyMvZUbai1kb5Saggw8qTm+7XWXwBjgTtreq709HQSEhLCGV5Y5OTkkJGREe0wAlIXY4a6GbfEHBkSc3V2u53c3Fy/+2ot6WutZwAzTm5XSp0H/KK13lVbfQshhPAvonP6la4EPopCv0IIEfPsFcU4HKU4XXYsliRs1saYTOFL1dFI+gr4bxT6FUKImFZWXsT6L6ewa+8ngAdbQmMG9plCi9R0zKbwTHFHfJ2+1nq41vr9SPcrhBCxzO12sXPPR+za+zHgXWBTbv+FZasew24vDls/8nCWEELEAHvFEfTuD6u1O13lFB3ZHbZ+JOkLIUQMMBhMWMxJfvdZLf7bgyFJXwghYoAtoREXpQ+p1t4wqTXJSa3D1o8kfSGEiBEtU9O54rI/0zD5LIxGC2ltB3DDlf+kQWKzsPURjdU7Qggh/EiwptDp7IGc1fISwIPZbMNqSQ5rH5L0hRAihhgMxrCO7E8m0ztCCBFHJOkLIUQckaQvhBBxRJK+EELEkVi/kWsCqKioiHYcp2S326MdQsDqYsxQN+OWmCNDYj5RlZxpOnlfVF6iUlM5OTm/BT6LdhxCCFFH9cnIyFhXtSHWR/pfAH2APMAV5ViEEKKuMAGt8ebQE8T0SF8IIUR4yY1cIYSII5L0hRAijkjSF0KIOCJJXwgh4ogkfSGEiCOxvmQzJimljMCbQDfADgzVWu+KblRnppTaAhx/2eaPWuv7oxnP6SilegKTtdb9lVKdgFl4XxyaCwzXWrujGZ8/J8V8IbAE2Fm5+69a63eiF111SikL8DaQBiQALwLfEsPX+hQx7yOGr7VSygS8BSi81/VhoJwoXWdJ+sG5CbBprXsrpXoBfwFujHJMp6WUsgEGrXX/aMdyJkqpZ4AsoKSy6VVgnNZ6tVLqb3iv9XvRis8fPzFnAK9qrf8SvajO6B7gkNY6SynVFPi68k8sX2t/MT9PbF/r6wG01pcppfoDLwEGonSdZXonOL8FPgbQWm8ELo5uODXSDWiglPpUKbWy8pdVrPoBGFRlOwNYU/n3j4ArIx7RmfmL+XdKqbVKqRlKqYZRiut0FgLjK/9uAJzE/rU+Vcwxe6211u8DD1Vung38QhSvsyT94KQAR6psu5RSsf6tqRR4Bbga79fLubEas9Z6MeCo0mTQWh9/ivAo0CjyUZ2en5g3A6O01n2B3cD/RSWw09BaH9NaH61MkouAccT4tT5FzHXhWjuVUrOB6cBconidJekHpxioOpowaq2d0QqmhnYAc7TWHq31DuAQ3se064Kqc50N8Y6UYt17Wuuc438HLoxmMKeilGoHrAKytdbzqAPX2k/MdeJaa61/D3TGO7+fWGVXRK+zJP3grAcyASqnSbZHN5waeQDvvQeUUm3wflvJi2pENfdV5VwowLXUjSJ8nyilelT+/Qog53QfjgalVEvgU2C01vrtyuaYvtaniDmmr7VSKkspNbZysxTvL9Yvo3WdY/LrfR3wHnCVUupzvPOKMbsKpooZwCyl1Dq8KwYeqAPfTo57CnhLKWUFvsP7tT7WDQOmK6UcQD6/zunGkmeBJsB4pdTxefIngGkxfK39xfwkMDWGr/W7wEyl1FrAAozAe22j8m9aCq4JIUQckekdIYSII5L0hRAijkjSF0KIOCJJXwgh4ogkfSGEiCOS9IUQIo5I0hdxRyn1dbRjqAml1NtKqR1KqTujHYuoP2SdvhAxSinlxlvNtSLasYj6Q5K+qPMqH2efcLxstFJqFrAa79OluXhrsRwEBmutDyulPHifjPwJuFBrfbCyTG8u3iqIf8BbJjkJ7yPzt2utv1NK7QE2Ad2BPlrrglPEcxfeQmAe4Avgwcr+3sJb7dQNvKK1/ldlrfUpQH/ABMzSWk9VSn2ItyTvVuAG4K9Aq8ou/qS1/jCUaybil0zviPqsG9466+l4C1rdfXxHZQmKhcDgyqZbgPfxFsK6Cehfedz7wCNVzvmR1lqdJuGfBUwFBmqtz8ebyH8HTMBbBz4duByYoJTqivcXAlrri4AewI1KqT5a6xsq27sDA4A9WusMvPXk+4R0VURck6Qv6rMCrfVXlX/PBZqetD8buKPy73firUJaDNwF3KGUmoh3tJ1c5ZhNZ+izN7Bea70fQGudVVlP/XK89Y/QWhcCH+Ad3V8J3FB5n2ET0Ba44KRzfg7cpJR6H++7HF44QwxCnJIkfVEfePAWvjvOUvm/5af5DFrrL4GmSqlLgLZa688ry/ZuABrjfbnFrJOOKztDLFVr6qOUaq6Uak71/68Z8BY8NAHPaK27V47qewEzT4pzJ9AFbx32PsBmpZQBIYIgSV/UB4XAOUopW+XcfCDTH3OBvwP/rty+BNiltZ6Kd+R9Ld7EXFNfAD2VUsfn36fifRXeSmAIgFIqFe8U0urK9geVUhalVDKwDuhZ9YRKqUfxzuMvxDvV1IIYe7mJqDsk6Ys6T2v9DbAU+AbvPH0gtcnn4L0xO6dy+1PAqJT6FtgI7AE6BBDLAbw3kD9RSuXi/WYwE+97XJsqpbYDa4GXtNZbgL/hfaH3V8CXwEyt9eqTTvsvQFU5doLWOuZebiLqBlm9I4QQcUReoiJEgJRSiXjn/f35oyynFLFMRvpCCBFHZE5fCCHiiCR9IYSII5L0hRAijkjSF0KIOPL/AcPm3pChuIYbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "univar_coefs = [-0.0735, 0.5068, -1.8715, 30.9753, \\\n",
    "                -2.6910, 0.1071, -1.5428, 0.6141, \\\n",
    "                0.0296, 1.1446, -0.0355, 0.5444]\n",
    "multivar_coefs = sm.OLS(boston_df[dep], sm.add_constant(boston_df[indi])).fit().params.drop('const')\n",
    "plot_dat = pd.DataFrame({'univar_coefs' : univar_coefs, 'multivar_coefs' : multivar_coefs})\n",
    "sns.scatterplot(x='univar_coefs', y='multivar_coefs', data=plot_dat, hue=multivar_coefs.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### (d) Is there evidence of non-linear association between any of the predictors and the response? To answer this question, for each predictor X, fit a model of the form: \n",
    "`Y = β0 +β1X +β2X2 +β3X3 +ε.`\n",
    "\n",
    "- INDUS, NOX, AGE, DIS, PTRATIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.058\n",
      "Model:                            OLS   Adj. R-squared:                  0.052\n",
      "Method:                 Least Squares   F-statistic:                     10.24\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.49e-06\n",
      "Time:                        11:42:03   Log-Likelihood:                -1791.1\n",
      "No. Observations:                 506   AIC:                             3590.\n",
      "Df Residuals:                     502   BIC:                             3607.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      4.8193      0.433     11.133      0.000       3.969       5.670\n",
      "ZN            -0.3303      0.110     -3.008      0.003      -0.546      -0.115\n",
      "I(ZN ** 2)     0.0064      0.004      1.670      0.096      -0.001       0.014\n",
      "I(ZN ** 3) -3.753e-05   3.14e-05     -1.196      0.232   -9.92e-05    2.41e-05\n",
      "==============================================================================\n",
      "Omnibus:                      570.003   Durbin-Watson:                   0.879\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            33886.468\n",
      "Skew:                           5.285   Prob(JB):                         0.00\n",
      "Kurtosis:                      41.672   Cond. No.                     1.89e+05\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.89e+05. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.257\n",
      "Model:                            OLS   Adj. R-squared:                  0.252\n",
      "Method:                 Least Squares   F-statistic:                     57.86\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           3.88e-32\n",
      "Time:                        11:42:03   Log-Likelihood:                -1731.0\n",
      "No. Observations:                 506   AIC:                             3470.\n",
      "Df Residuals:                     502   BIC:                             3487.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "Intercept         3.6410      1.576      2.310      0.021       0.545       6.737\n",
      "INDUS            -1.9533      0.483     -4.047      0.000      -2.901      -1.005\n",
      "I(INDUS ** 2)     0.2504      0.039      6.361      0.000       0.173       0.328\n",
      "I(INDUS ** 3)    -0.0069      0.001     -7.239      0.000      -0.009      -0.005\n",
      "==============================================================================\n",
      "Omnibus:                      611.416   Durbin-Watson:                   1.118\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            51547.097\n",
      "Skew:                           5.815   Prob(JB):                         0.00\n",
      "Kurtosis:                      51.059   Cond. No.                     2.47e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 2.47e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.003\n",
      "Model:                            OLS   Adj. R-squared:                 -0.001\n",
      "Method:                 Least Squares   F-statistic:                    0.7713\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):              0.463\n",
      "Time:                        11:42:03   Log-Likelihood:                -1805.3\n",
      "No. Observations:                 506   AIC:                             3617.\n",
      "Df Residuals:                     503   BIC:                             3629.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept        3.7232      0.396      9.395      0.000       2.945       4.502\n",
      "CHAS          1.116e+14    2.7e+14      0.413      0.680    -4.2e+14    6.43e+14\n",
      "I(CHAS ** 2) -5.582e+13   1.35e+14     -0.413      0.680   -3.21e+14     2.1e+14\n",
      "I(CHAS ** 3) -5.582e+13   1.35e+14     -0.413      0.680   -3.21e+14     2.1e+14\n",
      "==============================================================================\n",
      "Omnibus:                      562.698   Durbin-Watson:                   0.822\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            30864.725\n",
      "Skew:                           5.205   Prob(JB):                         0.00\n",
      "Kurtosis:                      39.818   Cond. No.                     6.48e+29\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The smallest eigenvalue is 1.23e-57. This might indicate that there are\n",
      "strong multicollinearity problems or that the design matrix is singular.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.292\n",
      "Model:                            OLS   Adj. R-squared:                  0.288\n",
      "Method:                 Least Squares   F-statistic:                     69.14\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.94e-37\n",
      "Time:                        11:42:03   Log-Likelihood:                -1718.6\n",
      "No. Observations:                 506   AIC:                             3445.\n",
      "Df Residuals:                     502   BIC:                             3462.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================\n",
      "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "Intercept     230.1421     33.734      6.822      0.000     163.864     296.420\n",
      "NOX         -1264.1021    170.860     -7.398      0.000   -1599.791    -928.414\n",
      "I(NOX ** 2)  2223.2265    280.659      7.921      0.000    1671.816    2774.637\n",
      "I(NOX ** 3) -1232.3894    149.687     -8.233      0.000   -1526.479    -938.300\n",
      "==============================================================================\n",
      "Omnibus:                      612.604   Durbin-Watson:                   1.159\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            52872.508\n",
      "Skew:                           5.824   Prob(JB):                         0.00\n",
      "Kurtosis:                      51.705   Cond. No.                     1.36e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.36e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.068\n",
      "Model:                            OLS   Adj. R-squared:                  0.063\n",
      "Method:                 Least Squares   F-statistic:                     12.29\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           9.06e-08\n",
      "Time:                        11:42:03   Log-Likelihood:                -1788.2\n",
      "No. Observations:                 506   AIC:                             3584.\n",
      "Df Residuals:                     502   BIC:                             3601.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept    111.9002     64.460      1.736      0.083     -14.744     238.545\n",
      "RM           -38.7040     31.284     -1.237      0.217    -100.167      22.759\n",
      "I(RM ** 2)     4.4655      5.005      0.892      0.373      -5.369      14.300\n",
      "I(RM ** 3)    -0.1694      0.264     -0.643      0.521      -0.687       0.348\n",
      "==============================================================================\n",
      "Omnibus:                      586.445   Durbin-Watson:                   0.919\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            40548.719\n",
      "Skew:                           5.484   Prob(JB):                         0.00\n",
      "Kurtosis:                      45.461   Cond. No.                     5.36e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.36e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.172\n",
      "Model:                            OLS   Adj. R-squared:                  0.167\n",
      "Method:                 Least Squares   F-statistic:                     34.86\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.76e-20\n",
      "Time:                        11:42:03   Log-Likelihood:                -1758.2\n",
      "No. Observations:                 506   AIC:                             3524.\n",
      "Df Residuals:                     502   BIC:                             3541.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================\n",
      "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "Intercept      -2.5592      2.771     -0.924      0.356      -8.003       2.884\n",
      "AGE             0.2743      0.186      1.471      0.142      -0.092       0.641\n",
      "I(AGE ** 2)    -0.0072      0.004     -1.987      0.047      -0.014   -8.25e-05\n",
      "I(AGE ** 3)  5.737e-05   2.11e-05      2.719      0.007    1.59e-05    9.88e-05\n",
      "==============================================================================\n",
      "Omnibus:                      577.859   Durbin-Watson:                   1.027\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            39629.126\n",
      "Skew:                           5.342   Prob(JB):                         0.00\n",
      "Kurtosis:                      45.018   Cond. No.                     4.74e+06\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 4.74e+06. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.276\n",
      "Model:                            OLS   Adj. R-squared:                  0.272\n",
      "Method:                 Least Squares   F-statistic:                     63.74\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           6.20e-35\n",
      "Time:                        11:42:03   Log-Likelihood:                -1724.4\n",
      "No. Observations:                 506   AIC:                             3457.\n",
      "Df Residuals:                     502   BIC:                             3474.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================\n",
      "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "Intercept      29.9496      2.448     12.235      0.000      25.140      34.759\n",
      "DIS           -15.5172      1.737     -8.931      0.000     -18.931     -12.104\n",
      "I(DIS ** 2)     2.4479      0.347      7.061      0.000       1.767       3.129\n",
      "I(DIS ** 3)    -0.1185      0.020     -5.802      0.000      -0.159      -0.078\n",
      "==============================================================================\n",
      "Omnibus:                      577.986   Durbin-Watson:                   1.133\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            42441.952\n",
      "Skew:                           5.310   Prob(JB):                         0.00\n",
      "Kurtosis:                      46.592   Cond. No.                     2.10e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 2.1e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.396\n",
      "Model:                            OLS   Adj. R-squared:                  0.392\n",
      "Method:                 Least Squares   F-statistic:                     109.5\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           1.47e-54\n",
      "Time:                        11:42:03   Log-Likelihood:                -1678.7\n",
      "No. Observations:                 506   AIC:                             3365.\n",
      "Df Residuals:                     502   BIC:                             3382.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================\n",
      "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "Intercept      -0.6050      2.057     -0.294      0.769      -4.645       3.435\n",
      "RAD             0.5122      1.047      0.489      0.625      -1.545       2.569\n",
      "I(RAD ** 2)    -0.0750      0.149     -0.504      0.615      -0.368       0.218\n",
      "I(RAD ** 3)     0.0032      0.005      0.699      0.485      -0.006       0.012\n",
      "==============================================================================\n",
      "Omnibus:                      657.375   Durbin-Watson:                   1.349\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            76643.757\n",
      "Skew:                           6.487   Prob(JB):                         0.00\n",
      "Kurtosis:                      61.881   Cond. No.                     5.43e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.43e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.365\n",
      "Model:                            OLS   Adj. R-squared:                  0.361\n",
      "Method:                 Least Squares   F-statistic:                     96.10\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           3.69e-49\n",
      "Time:                        11:42:03   Log-Likelihood:                -1691.3\n",
      "No. Observations:                 506   AIC:                             3391.\n",
      "Df Residuals:                     502   BIC:                             3407.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================\n",
      "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------\n",
      "Intercept      19.0705     11.827      1.612      0.107      -4.166      42.307\n",
      "TAX            -0.1524      0.096     -1.589      0.113      -0.341       0.036\n",
      "I(TAX ** 2)     0.0004      0.000      1.476      0.141      -0.000       0.001\n",
      "I(TAX ** 3) -2.193e-07   1.89e-07     -1.158      0.247   -5.91e-07    1.53e-07\n",
      "==============================================================================\n",
      "Omnibus:                      642.369   Durbin-Watson:                   1.292\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            68905.900\n",
      "Skew:                           6.249   Prob(JB):                         0.00\n",
      "Kurtosis:                      58.786   Cond. No.                     6.16e+09\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 6.16e+09. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.112\n",
      "Model:                            OLS   Adj. R-squared:                  0.107\n",
      "Method:                 Least Squares   F-statistic:                     21.21\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           5.99e-13\n",
      "Time:                        11:42:03   Log-Likelihood:                -1775.9\n",
      "No. Observations:                 506   AIC:                             3560.\n",
      "Df Residuals:                     502   BIC:                             3577.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===================================================================================\n",
      "                      coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-----------------------------------------------------------------------------------\n",
      "Intercept         474.0255    156.823      3.023      0.003     165.915     782.135\n",
      "PTRATIO           -81.8089     27.649     -2.959      0.003    -136.131     -27.487\n",
      "I(PTRATIO ** 2)     4.6039      1.609      2.862      0.004       1.444       7.764\n",
      "I(PTRATIO ** 3)    -0.0842      0.031     -2.724      0.007      -0.145      -0.023\n",
      "==============================================================================\n",
      "Omnibus:                      572.978   Durbin-Watson:                   0.949\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            36189.609\n",
      "Skew:                           5.303   Prob(JB):                         0.00\n",
      "Kurtosis:                      43.050   Cond. No.                     3.02e+06\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 3.02e+06. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.144\n",
      "Model:                            OLS   Adj. R-squared:                  0.139\n",
      "Method:                 Least Squares   F-statistic:                     28.14\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           7.83e-17\n",
      "Time:                        11:42:03   Log-Likelihood:                -1766.8\n",
      "No. Observations:                 506   AIC:                             3542.\n",
      "Df Residuals:                     502   BIC:                             3558.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     17.9898      2.312      7.782      0.000      13.448      22.531\n",
      "B             -0.0845      0.056     -1.497      0.135      -0.196       0.026\n",
      "I(B ** 2)      0.0002      0.000      0.760      0.447      -0.000       0.001\n",
      "I(B ** 3)  -2.895e-07   4.38e-07     -0.661      0.509   -1.15e-06     5.7e-07\n",
      "==============================================================================\n",
      "Omnibus:                      589.534   Durbin-Watson:                   0.990\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            42752.655\n",
      "Skew:                           5.512   Prob(JB):                         0.00\n",
      "Kurtosis:                      46.661   Cond. No.                     3.59e+08\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 3.59e+08. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   CRIM   R-squared:                       0.214\n",
      "Model:                            OLS   Adj. R-squared:                  0.210\n",
      "Method:                 Least Squares   F-statistic:                     45.67\n",
      "Date:                Sat, 08 Sep 2018   Prob (F-statistic):           4.13e-26\n",
      "Time:                        11:42:03   Log-Likelihood:                -1745.0\n",
      "No. Observations:                 506   AIC:                             3498.\n",
      "Df Residuals:                     502   BIC:                             3515.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "Intercept         1.0836      2.032      0.533      0.594      -2.909       5.076\n",
      "LSTAT            -0.4133      0.466     -0.887      0.375      -1.328       0.502\n",
      "I(LSTAT ** 2)     0.0530      0.030      1.758      0.079      -0.006       0.112\n",
      "I(LSTAT ** 3)    -0.0008      0.001     -1.423      0.155      -0.002       0.000\n",
      "==============================================================================\n",
      "Omnibus:                      607.032   Durbin-Watson:                   1.239\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            53255.699\n",
      "Skew:                           5.717   Prob(JB):                         0.00\n",
      "Kurtosis:                      51.941   Cond. No.                     5.20e+04\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 5.2e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "for v in indi:\n",
    "    print(smf.ols(formula='CRIM ~ {0} + I({0} ** 2) + I({0} ** 3) '.format(v), data=boston_df).fit().summary())\n",
    "\n",
    "\n",
    "# ZN            -0.3303      0.110     -3.008      0.003      -0.546      -0.115\n",
    "# I(ZN ** 2)     0.0064      0.004      1.670      0.096      -0.001       0.014\n",
    "# I(ZN ** 3) -3.753e-05   3.14e-05     -1.196      0.232   -9.92e-05    2.41e-05    \n",
    "\n",
    "# INDUS            -1.9533      0.483     -4.047      0.000      -2.901      -1.005\n",
    "# I(INDUS ** 2)     0.2504      0.039      6.361      0.000       0.173       0.328\n",
    "# I(INDUS ** 3)    -0.0069      0.001     -7.239      0.000      -0.009      -0.005\n",
    "\n",
    "# CHAS          1.116e+14    2.7e+14      0.413      0.680    -4.2e+14    6.43e+14\n",
    "# I(CHAS ** 2) -5.582e+13   1.35e+14     -0.413      0.680   -3.21e+14     2.1e+14\n",
    "# I(CHAS ** 3) -5.582e+13   1.35e+14     -0.413      0.680   -3.21e+14     2.1e+14\n",
    "\n",
    "# NOX         -1264.1021    170.860     -7.398      0.000   -1599.791    -928.414\n",
    "# I(NOX ** 2)  2223.2265    280.659      7.921      0.000    1671.816    2774.637\n",
    "# I(NOX ** 3) -1232.3894    149.687     -8.233      0.000   -1526.479    -938.300\n",
    "\n",
    "# RM           -38.7040     31.284     -1.237      0.217    -100.167      22.759\n",
    "# I(RM ** 2)     4.4655      5.005      0.892      0.373      -5.369      14.300\n",
    "# I(RM ** 3)    -0.1694      0.264     -0.643      0.521      -0.687       0.348\n",
    "\n",
    "# AGE             0.2743      0.186      1.471      0.142      -0.092       0.641\n",
    "# I(AGE ** 2)    -0.0072      0.004     -1.987      0.047      -0.014   -8.25e-05\n",
    "# I(AGE ** 3)  5.737e-05   2.11e-05      2.719      0.007    1.59e-05    9.88e-05\n",
    "\n",
    "# DIS           -15.5172      1.737     -8.931      0.000     -18.931     -12.104\n",
    "# I(DIS ** 2)     2.4479      0.347      7.061      0.000       1.767       3.129\n",
    "# I(DIS ** 3)    -0.1185      0.020     -5.802      0.000      -0.159      -0.078\n",
    "\n",
    "# RAD             0.5122      1.047      0.489      0.625      -1.545       2.569\n",
    "# I(RAD ** 2)    -0.0750      0.149     -0.504      0.615      -0.368       0.218\n",
    "# I(RAD ** 3)     0.0032      0.005      0.699      0.485      -0.006       0.012\n",
    "\n",
    "# TAX            -0.1524      0.096     -1.589      0.113      -0.341       0.036\n",
    "# I(TAX ** 2)     0.0004      0.000      1.476      0.141      -0.000       0.001\n",
    "# I(TAX ** 3) -2.193e-07   1.89e-07     -1.158      0.247   -5.91e-07    1.53e-07\n",
    "\n",
    "# PTRATIO           -81.8089     27.649     -2.959      0.003    -136.131     -27.487\n",
    "# I(PTRATIO ** 2)     4.6039      1.609      2.862      0.004       1.444       7.764\n",
    "# I(PTRATIO ** 3)    -0.0842      0.031     -2.724      0.007      -0.145      -0.023\n",
    "\n",
    "# B             -0.0845      0.056     -1.497      0.135      -0.196       0.026\n",
    "# I(B ** 2)      0.0002      0.000      0.760      0.447      -0.000       0.001\n",
    "# I(B ** 3)  -2.895e-07   4.38e-07     -0.661      0.509   -1.15e-06     5.7e-07\n",
    "\n",
    "# LSTAT            -0.4133      0.466     -0.887      0.375      -1.328       0.502\n",
    "# I(LSTAT ** 2)     0.0530      0.030      1.758      0.079      -0.006       0.112\n",
    "# I(LSTAT ** 3)    -0.0008      0.001     -1.423      0.155      -0.002       0.000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127b30390>"
      ]
     },
     "execution_count": 400,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(boston_df.corr())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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