linear_regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from numpy import intersect1d\n",
    "from scipy import stats\n",
    "\n",
    "x = [5,7,8,7,2,17,2,9,4,11,12,9,6]\n",
    "y = [99,86,87,88,11,86,103,87,94,78,77,85,86]\n",
    "slope, intercept, r, p,std_err = stats.linregress(x,y)\n",
    "\n",
    "def myfunc(x):\n",
    "    return slope * x + intercept\n",
    "mymodel = list(map(myfunc , x))\n",
    "plt.scatter(x,y)\n",
    "plt.plot(x,mymodel)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.4 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "8c3d4d9970fc5c09c50d9318a9c7fbf4d0159e4b28833276f5678ee22bded273"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}