Simple Linear Regression.ipynb

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   "source": [
    "import numpy as np"
   ]
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   "source": [
    "# inputs and corresponding outputs\n",
    "x = np.array([67,67,72,69,69,70,67,67,66,68])\n",
    "y = np.array([128,123,129,143,132,142,112,118,108,119])"
   ]
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    "#correlation coeffcient between x and y\n",
    "r=np.corrcoef(x,y)[0,1]\n",
    "r"
   ]
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    "w=r*y.std()/x.std()\n",
    "w"
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    "b = y.mean() - x.mean()*r*y.std()/x.std()\n",
    "b"
   ]
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