{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d1d54c10",
   "metadata": {},
   "source": [
    "# Food Access During the COVID-19 Pandemic "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91261684",
   "metadata": {},
   "source": [
    "**Author:** Daoqin Tong, Xueting Jin\n",
    "\n",
    "**Date Created:** 11/23/2021\n",
    "\n",
    "This notebook provides the code for running a Segmented Linear Regression Model to examine visits to grocery stores in six large metropolitan statistical areas (MSAs).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77a897b1",
   "metadata": {},
   "source": [
    "## Load Required Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "43dad510",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b845c4f",
   "metadata": {},
   "source": [
    "## Load and Preview Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bf32d8d0",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          GeoID       Visits    AWDist  intD  TripChain_B  TripChain_D  \\\n",
      "0  170310101002  1756.663795  9.074393     0   606.279159          0.0   \n",
      "1  170310101003  2197.925421  7.045779     0   698.586606          0.0   \n",
      "2  170310102011  3897.613786  6.069707     0  1080.965566          0.0   \n",
      "3  170310102012  4683.447118  7.227351     0  1486.399091          0.0   \n",
      "4  170310102013  1573.585389  6.101111     0   355.207317          0.0   \n",
      "\n",
      "   OtherR_Visits  Fast_Visits  Dist_Convenience  Dist_LargeRetailer  ...  \\\n",
      "0    3943.300326  1228.570038          0.292435            2.669511  ...   \n",
      "1    5118.357246  1541.180055          0.180847            2.426438  ...   \n",
      "2    4035.986211  1685.464689          0.155907            2.066019  ...   \n",
      "3    8024.780492  3173.090726          0.284614            2.050767  ...   \n",
      "4    2730.858675  1244.316341          0.207635            2.176084  ...   \n",
      "\n",
      "   No_Vehicle_B  No_Vehicle_D  High_Educated_B  High_Educated_D  May  \\\n",
      "0     45.825427           0.0        37.233310              0.0    0   \n",
      "1     54.147251           0.0        60.928571              0.0    0   \n",
      "2     23.735955           0.0        40.533778              0.0    0   \n",
      "3     34.691011           0.0        30.654545              0.0    0   \n",
      "4     27.986907           0.0        27.089073              0.0    0   \n",
      "\n",
      "   PCT_Case  POPDensityKsqmi  Commute  PCT_PUBLIC      MSA  \n",
      "0       0.0           0.9935     34.4       12.36  Chicago  \n",
      "1       0.0           0.9935     34.4       12.36  Chicago  \n",
      "2       0.0           0.9935     34.4       12.36  Chicago  \n",
      "3       0.0           0.9935     34.4       12.36  Chicago  \n",
      "4       0.0           0.9935     34.4       12.36  Chicago  \n",
      "\n",
      "[5 rows x 28 columns]\n"
     ]
    }
   ],
   "source": [
    "food_access = pd.read_excel('Regression_Data.xlsx')\n",
    "print(food_access.head(5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a653b79",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "# Defning the variables"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "e9c6c575",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e61c8be5",
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = food_access.iloc[:,1]\n",
    "x1 = food_access.iloc[:,3:27]\n",
    "x1 = sm.add_constant(x1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cf41ccff",
   "metadata": {},
   "outputs": [],
   "source": [
    "y2 = food_access.iloc[:,2]\n",
    "x2 = food_access.iloc[:,[3,4,5,8,9,10,11,12,14,15,16,17,18,19,20,21,22,23,24,25,26]]\n",
    "x2 = sm.add_constant(x2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3194551",
   "metadata": {},
   "source": [
    "# Run Model 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "14b1b84e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                 Visits   R-squared:                       0.887\n",
      "Model:                            OLS   Adj. R-squared:                  0.887\n",
      "Method:                 Least Squares   F-statistic:                 4.526e+04\n",
      "Date:                Wed, 24 Nov 2021   Prob (F-statistic):               0.00\n",
      "Time:                        17:58:02   Log-Likelihood:            -1.1144e+06\n",
      "No. Observations:              137991   AIC:                         2.229e+06\n",
      "Df Residuals:                  137966   BIC:                         2.229e+06\n",
      "Df Model:                          24                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "======================================================================================\n",
      "                         coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------------\n",
      "const                651.9254     40.300     16.177      0.000     572.938     730.913\n",
      "intD                 245.3612     11.289     21.734      0.000     223.235     267.488\n",
      "TripChain_B            2.3147      0.004    535.185      0.000       2.306       2.323\n",
      "TripChain_D            2.2311      0.006    394.149      0.000       2.220       2.242\n",
      "OtherR_Visits         -0.0439      0.002    -21.235      0.000      -0.048      -0.040\n",
      "Fast_Visits            0.3696      0.004     96.972      0.000       0.362       0.377\n",
      "Dist_Convenience     108.0727      3.734     28.945      0.000     100.755     115.391\n",
      "Dist_LargeRetailer   -17.4920      0.816    -21.446      0.000     -19.091     -15.893\n",
      "Dist_Specialty        13.0355      0.616     21.159      0.000      11.828      14.243\n",
      "Dist_Supermarket       4.5200      2.172      2.081      0.037       0.263       8.777\n",
      "Dist_Warehouse        -5.0634      0.620     -8.167      0.000      -6.279      -3.848\n",
      "Population             0.2511      0.004     65.698      0.000       0.244       0.259\n",
      "PCT_17                 4.4685      0.294     15.189      0.000       3.892       5.045\n",
      "PCT_65                 5.7481      0.243     23.677      0.000       5.272       6.224\n",
      "PCT_race              -2.6667      0.094    -28.470      0.000      -2.850      -2.483\n",
      "Income                 0.9692      0.083     11.710      0.000       0.807       1.131\n",
      "No_Vehicle_B           0.1023      0.167      0.611      0.541      -0.226       0.430\n",
      "No_Vehicle_D          -4.0589      0.180    -22.608      0.000      -4.411      -3.707\n",
      "High_Educated_B       -0.7727      0.181     -4.268      0.000      -1.127      -0.418\n",
      "High_Educated_D        2.1330      0.186     11.448      0.000       1.768       2.498\n",
      "May                  -83.9182      4.464    -18.798      0.000     -92.668     -75.168\n",
      "PCT_Case             -22.1611      0.902    -24.578      0.000     -23.928     -20.394\n",
      "POPDensityKsqmi       59.1955      4.282     13.823      0.000      50.802      67.589\n",
      "Commute              -39.0944      1.364    -28.672      0.000     -41.767     -36.422\n",
      "PCT_PUBLIC            12.6462      0.352     35.898      0.000      11.956      13.337\n",
      "==============================================================================\n",
      "Omnibus:                    92918.776   Durbin-Watson:                   0.976\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):         17547130.540\n",
      "Skew:                           2.241   Prob(JB):                         0.00\n",
      "Kurtosis:                      58.062   Cond. No.                     6.90e+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, 6.9e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "model1 = sm.OLS(y1,x1)\n",
    "result1 = model1.fit()\n",
    "print(result1.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f051be89",
   "metadata": {},
   "source": [
    "# Run Model 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7cc388c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                 AWDist   R-squared:                       0.235\n",
      "Model:                            OLS   Adj. R-squared:                  0.234\n",
      "Method:                 Least Squares   F-statistic:                     2013.\n",
      "Date:                Wed, 24 Nov 2021   Prob (F-statistic):               0.00\n",
      "Time:                        17:58:03   Log-Likelihood:            -3.9549e+05\n",
      "No. Observations:              137991   AIC:                         7.910e+05\n",
      "Df Residuals:                  137969   BIC:                         7.912e+05\n",
      "Df Model:                          21                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "======================================================================================\n",
      "                         coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------------\n",
      "const                  6.6923      0.220     30.474      0.000       6.262       7.123\n",
      "intD                  -1.3596      0.061    -22.288      0.000      -1.479      -1.240\n",
      "TripChain_B         4.647e-05   2.06e-05      2.251      0.024    6.01e-06    8.69e-05\n",
      "TripChain_D            0.0004   2.56e-05     15.561      0.000       0.000       0.000\n",
      "Dist_Convenience       0.6984      0.020     34.375      0.000       0.659       0.738\n",
      "Dist_LargeRetailer     0.0791      0.004     17.777      0.000       0.070       0.088\n",
      "Dist_Specialty         0.1280      0.003     38.156      0.000       0.121       0.135\n",
      "Dist_Supermarket       0.4054      0.012     34.171      0.000       0.382       0.429\n",
      "Dist_Warehouse         0.1198      0.003     35.364      0.000       0.113       0.126\n",
      "PCT_17                -0.0284      0.002    -17.846      0.000      -0.031      -0.025\n",
      "PCT_65                -0.0188      0.001    -14.256      0.000      -0.021      -0.016\n",
      "PCT_race              -0.0027      0.001     -5.265      0.000      -0.004      -0.002\n",
      "Income                -0.0056      0.000    -12.521      0.000      -0.007      -0.005\n",
      "No_Vehicle_B          -0.0099      0.001    -10.881      0.000      -0.012      -0.008\n",
      "No_Vehicle_D           0.0082      0.001      8.476      0.000       0.006       0.010\n",
      "High_Educated_B        0.0164      0.001     16.738      0.000       0.014       0.018\n",
      "High_Educated_D        0.0088      0.001      8.746      0.000       0.007       0.011\n",
      "May                    0.3634      0.024     14.970      0.000       0.316       0.411\n",
      "PCT_Case               0.0869      0.005     17.746      0.000       0.077       0.096\n",
      "POPDensityKsqmi       -0.3249      0.023    -14.042      0.000      -0.370      -0.280\n",
      "Commute                0.0383      0.007      5.158      0.000       0.024       0.053\n",
      "PCT_PUBLIC            -0.0047      0.002     -2.447      0.014      -0.008      -0.001\n",
      "==============================================================================\n",
      "Omnibus:                   139901.766   Durbin-Watson:                   1.631\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):         32497106.534\n",
      "Skew:                           4.534   Prob(JB):                         0.00\n",
      "Kurtosis:                      77.631   Cond. No.                     1.49e+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, 1.49e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "model2 = sm.OLS(y2,x2)\n",
    "result2 = model2.fit()\n",
    "print(result2.summary())"
   ]
  }
 ],
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