{ "cells": [ { "cell_type": "markdown", "id": "1593fd34", "metadata": {}, "source": [ "# Simple Explanation of Statsmodels Summary\n", "> Implementation in python" ] }, { "cell_type": "code", "execution_count": 8, "id": "37d383db", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 40, "id": "ef02fe62", "metadata": {}, "outputs": [], "source": [ "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf\n", "import pylab as py" ] }, { "cell_type": "code", "execution_count": 97, "id": "099cdedc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | YearsExperience | \n", "Projects | \n", "People_managing | \n", "Salary | \n", "
---|---|---|---|---|
0 | \n", "1.1 | \n", "4 | \n", "0 | \n", "39343 | \n", "
1 | \n", "1.3 | \n", "5 | \n", "0 | \n", "46205 | \n", "
2 | \n", "1.5 | \n", "6 | \n", "0 | \n", "37731 | \n", "
3 | \n", "2.0 | \n", "3 | \n", "1 | \n", "43525 | \n", "
4 | \n", "2.2 | \n", "5 | \n", "1 | \n", "39891 | \n", "
5 | \n", "2.9 | \n", "6 | \n", "1 | \n", "56642 | \n", "
6 | \n", "3.0 | \n", "8 | \n", "1 | \n", "60150 | \n", "
7 | \n", "3.2 | \n", "7 | \n", "1 | \n", "54445 | \n", "
8 | \n", "3.2 | \n", "9 | \n", "2 | \n", "64445 | \n", "
9 | \n", "3.7 | \n", "10 | \n", "2 | \n", "57189 | \n", "
10 | \n", "3.9 | \n", "15 | \n", "2 | \n", "63218 | \n", "
11 | \n", "4.0 | \n", "12 | \n", "2 | \n", "55794 | \n", "
12 | \n", "4.0 | \n", "7 | \n", "2 | \n", "56957 | \n", "
13 | \n", "4.1 | \n", "22 | \n", "3 | \n", "57081 | \n", "
14 | \n", "4.5 | \n", "12 | \n", "3 | \n", "61111 | \n", "
15 | \n", "4.9 | \n", "20 | \n", "3 | \n", "67938 | \n", "
16 | \n", "5.1 | \n", "21 | \n", "3 | \n", "66029 | \n", "
17 | \n", "5.3 | \n", "16 | \n", "3 | \n", "83088 | \n", "
18 | \n", "5.9 | \n", "28 | \n", "4 | \n", "81363 | \n", "
19 | \n", "6.0 | \n", "23 | \n", "4 | \n", "93940 | \n", "
20 | \n", "6.8 | \n", "25 | \n", "4 | \n", "91738 | \n", "
21 | \n", "7.1 | \n", "22 | \n", "4 | \n", "98273 | \n", "
22 | \n", "7.9 | \n", "35 | \n", "4 | \n", "101302 | \n", "
23 | \n", "8.2 | \n", "31 | \n", "4 | \n", "113812 | \n", "
24 | \n", "8.7 | \n", "27 | \n", "4 | \n", "109431 | \n", "
25 | \n", "9.0 | \n", "24 | \n", "5 | \n", "105582 | \n", "
26 | \n", "9.5 | \n", "33 | \n", "5 | \n", "116969 | \n", "
27 | \n", "9.6 | \n", "30 | \n", "5 | \n", "112635 | \n", "
28 | \n", "10.3 | \n", "29 | \n", "5 | \n", "122391 | \n", "
29 | \n", "10.5 | \n", "31 | \n", "5 | \n", "121872 | \n", "
30 | \n", "11.0 | \n", "28 | \n", "5 | \n", "126522 | \n", "