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@tulior
Created August 25, 2019 23:33
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Welcome to Jupyter!"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"from pydoc import help\n",
"import numpy\n",
"from scipy import stats\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"x = numpy.array([83,81,86,74,78,85,74,78,67,65,54,52,58,49,54,47,48,47,38,53,53,41,44,39,36,36,41,45])"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"y = numpy.array([9140,5720,21540,10380,6190,10460,6530,2020,9180,62850,14670,12370,6390,44860,9470,53190,33560,10230,41070,30600,14150,41330,29450,14590,55070,47450,45430,41340])"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)\n",
"line = slope*x+intercept"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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3A0SP/aPdq4GNCYc3RmXV0fPW5UnHuPtOYDvQrysnVOx6tF9+zJh4UMyZk7zt5JPjQdHWsuOdpKuzRfJLWuHg7rvc/RhgMKEVcFQ7u7f1F7+3U97eMclvbDbVzOrNrH7btm0dVbvo5LRf/pJLQkjs2JG6rV+/EBJ9+nR5fEJXZ4vkl07NVnL3ZuBxwljBlqiriOhxa7RbIzAk4bDBwKaofHAb5UnHmFlvYF8g5c9Rd5/v7jXuXlNVVdWZqheFvOiX79073ppYvz5528cfx8cnLr20U2+rq7NF8ks6s5WqzKwyel4B/DPwCrAMmBztNhlYGj1fBkyKZiANIww8Pxt1Pb1vZqOj8YQLWx0Te6+zgZVeqJduZ1He9csPHRoPivvuS952yy3xbqdHHknr7epGVvPkjFNZP+vLPDnjVAWDSA6l03IYCPzezP4MPEcYc/gtMAs4zcxeA06LXuPuLwKLgJeAh4Fp7h77c/ci4DbCIPVfgIei8tuBfmbWAFxONPNJkuV1v/xXvxoPiq9+NXlbbW08KLZubft4EckrWlupgMTGHBK7lirKy/K3+2XXrtAN1d72XroOU6QnaW2lIlRw/fJlZfHWRGNj29vNwvRZEckrajlIz1u6FOrq2t42Z06YGSUiWaGWg+SvCRPiLYpDDkneduml8fGJTZvaPl5Esk7hILnV0BBCYteu1G3V1fGgaGu7iGSNwkHyQ69e8dbEli2p23v3DiExf37P102kBCkcJP/07x8PiuXLk7d9+9vx1oTGnESyRuEg+e2LX4wHxb33Jm877rgQEp/6FLz9dm7qJ1KkFA5SOM49N4TEJ5/AtGnx8g8+gKqqEBR1dRqfEMkAhYMUHjP46U9DUHzwARx+eHzb0qXx8YlbbsldHUUKnMJBCtvee8PLL4egWNdqAcLEabGt700hIu1SOEjxOOyw+PjE4sXJ28aODSFRXq71nUTSoHCQ4vQv/xIPiiuvjJfv3AkDBoSgGD8+vBaRFAoHKX6zZ4eQ+Nvf4Jhj4uXLl4eWhFnYR0T+QeEgpaOiAtasCUHx+uvJ2666Kj6IXYJ3GRRpTeEgpWnYsHi304MPxssvvRQGDYKvfAUWLYKWHN1ISSTHFA4ip58eD4q1a+Hyy0ML49xz4dOfhilT4PHHw/UVIiVC4SCS6Kij4Prr4Y034LHHwsD2okVwyimhtfH978NLL+W6liJZp3AQaUtZGYwbB3fcERYCvPtuOPJI+J//CY+jRsFPftL2IoEiRUDhINKRvfaC886D3/0OmprgpptC+fe+F5YVP/10uOeeMBtKpEjoTnAiXfXSS3DXXeFr40bYZx846yy44AI4+eTQ+hDJoCVrmpi9fB2bmlsYVFnB9NoRnb5NcLp3glM4iHTXJ5/AH/4ACxfC/ffDX/8aWhRf/3oIiqOOynUNpQgsWdPEzMVradkRX1iyorys0/eR121CRXpKr16hpXD77fDWW2Fp8ZEj4cYb4eijw4V3N9wAmzfnuqZSwGYvX5cUDAAtO3Yxe/m63RzRPQoHkUyqqAhTYH/zm3AP7DlzYI89whIegwdDbW3ohvrww1zXVArMpua2r7nZXXl3KRxEsqWqCi65BJ59NqwcO3NmWDn2ggvC+k4XXgiPPqr7T0haBlVWdKq8uzoMBzMbYma/N7OXzexFM7ssKt/fzB41s9eix/0SjplpZg1mts7MahPKR5nZ2mjbHDOzqLyPmd0XlT9jZkMzf6oiOXT44fCjH4VlO/7wB/ja12DZsnCnuyFDQsviT3/KdS0lj02vHUFFefIkh4ryMqbXjsjKv5dOy2EncIW7fwYYDUwzsyOAGcAKdx8OrIheE22bBBwJjAfmmlnsjOYBU4Hh0df4qHwK8J67HwrcBFyfgXMTyT+9esE//RPMnx/GJ371q3C705tvDmMTn/1sWASwqSnXNZU8UzeymusmHk11ZQUGVFdWdHowujM6PVvJzJYCP42+Tnb3zWY2EHjc3UeY2UwAd78u2n858N/ABuD37n54VH5edPy3Y/u4+yoz6w28BVR5O5XTbCUpKm+/Ha7EXrgQnn46LAJ46qmhC2rixHCfbJEMyMpspai7ZyTwDDDA3TcDRI/9o92qgY0JhzVGZdXR89blSce4+05gO9CvjX9/qpnVm1n9Nq2cKcXkgAPg4oth1Sp49VX4wQ9g/Xr4138N4xNf/zo8/LDuPyE9Ju1wMLN9gF8D33X3v7a3axtl3k55e8ckF7jPd/cad6+pqqrqqMoihWn4cLjmGmhogCefhMmT4aGH4EtfCjOevvc9eP75sFCgSJakFQ5mVk4Ihl+6e+z+i1ui7iSix9i9FxuBIQmHDwY2ReWD2yhPOibqVtoXeLezJyNSVMzg85+HefPCNRKLF4fXP/tZWNvpqKNg1ix4881c11SKUDqzlQy4HXjZ3W9M2LQMmBw9nwwsTSifFM1AGkYYeH426np638xGR+95YatjYu91NrCyvfEGkZLTp09YIXbx4jCQ/fOfw377hemxQ4eGVWN/8YtwdbZIBnQ4IG1mXwD+H7AWiC1o/33CuMMi4EDgTeAcd383OuY/gG8SZjp9190fisprgDuACuAh4BJ3dzPbE1hIGM94F5jk7q1u1ZVMA9IihKmxd90VBrIbGmDPPWHCBDj//HDBXXl5rmsoeUZrK4mUEvdwsd3ChWH5jnfeCRfhTZoUZjzV1IRuKil5WltJpJSYwQknwE9/GpbtWLYsrPc0fz4cfzx85jPhIrwNG3JdUykQCgeRYrPHHvF7YL/1Ftx6a7jd6Q9+EO5md+KJoey993JdU8ljCgeRYlZZCd/6VrgH9oYNcO21sG0bTJ0aAuPss2HpUvj441zXVPKMwkGkVBx0UPwe2M89B//+72Gdp7o6GDQIpk0LV2cX6DikZJbCQaTUmIUB6ptvDms4PfggnHZamAo7Zgwcdli4CO8vf8l1TSWHFA4ipay8PH4P7C1bQkAMGRLC4dBDYezYcE3Fu7omtdQoHEQk6NsXvvENWLkS3ngDrrsOmpvhoovC+ETsIryPPsp1TaUHKBxEJNWQITBjBrzwQljH6TvfCYsCnnUWDBwYxiuefFLjE0VM4SAiu2cWvx92Y2N8AcA774QvfAEOOQSuvhpeey3XNZUM0xXSXbRkTROzl69jU3MLgyormF47Ims33Sh1+l7nofffhwceCFdkr1gRWhAnnBCuxj733LAEueQlLZ+RRUvWNDFz8VpadsTv/VtRXpbVuzKVgrZCAND3Ot81NcHdd4egWLsWevcOg9wXXABnnBHWe5K8oXDIorGzVtLU3JJSXl1ZwZMzTs1BjQrf7gK3T+9eNLfsSNlf3+s89ec/h5D45S/DMuP77gvnnBOC4gtfCLdJlZzS2kpZtKmNYGivXDo2e/m6pGAAaNmxq81gAH2v81bsHtgbN8Ijj8CZZ4ZpsiedBAcfDP/5n7BuXa5rKWlQOHTBoMqKTpVLxzr7y17f6zxXVhYurLvzznD9xF13weGHh+mxhx8Oxx0Hc+bA1q0dv5fkhMKhC6bXjqCivCyprKK87B995NJ5u/tlv99e5fpeF7q9947fA7uxEW64IdwL+7LLwrIdZ5wB990HLWoN5hOFQxfUjazmuolHU11ZgRH6vzVA2j27C9z/+sqR+l4Xk4ED4fLLYc2aMHh95ZXwpz+F+0707x+mzprB3/+e65qWPA1IS4/b3dRUTVktUbt2wRNPhLGKhx9O3nbMMSFIJGM0W0nykqYBS7vWrIFjj2172w03hFaHdItmK0le2t2spNnLNYNFCFdju4evG25I3nbFFfFup+efz039SojCQXqUpgFL2i6/PB4UI0cmbxs1Kh4UH36Ym/oVOYWD9ChNA5Yuef75EBJtzWjaZ58QEocc0vP1KmIKB+lRmgYs3bLnnvHWxAsvJG97/fV4a+KHP8xN/YqIwkF6lKYBS8YceWQ8KObOTd529dXxoHj66dzUrxuWrGli7KyVDJvxIGNnrWTJmqYer0OHs5XM7BfAGcBWdz8qKtsfuA8YCmwAvuru70XbZgJTgF3Ape6+PCofBdwBVAC/Ay5zdzezPsCdwCjgHeBcd9/QUcU1W6l7NG1U8k3GfiZPOincG7stzc1hvac8lu0ZfZmcrXQHML5V2QxghbsPB1ZErzGzI4BJwJHRMXPNLNaHMA+YCgyPvmLvOQV4z90PBW4Crk+jTtINsR++puYWHGhqbmHm4rU5+etEBDL8M/nEE6E10dYd6yorQ2viiivy9kZF+TKjr8NwcPc/AK1vIDsBWBA9XwDUJZTf6+4fuft6oAE43swGAn3dfZWHpsqdrY6Jvdf9wDgzs66ekHQsX374RGKy8jO5xx7xbqfWNyO68cawQqxZuC9FHsmXGX1dHXMY4O6bAaLH/lF5NbAxYb/GqKw6et66POkYd98JbAf6dbFekoZ8+eFLVz70v0p2Zf1n8tBD40Hx1FPJ2yZOjI9PvPpqZv69bsiXGX2ZHpBu6y9+b6e8vWNS39xsqpnVm1n9tm3bulhFyZcfvnSoC6x7CiVYe/RncsyYeFDcckvythEjQkgcdljGrp/o7GeQLzP6uhoOW6KuIqLH2Lq7jcCQhP0GA5ui8sFtlCcdY2a9gX1J7cYCwN3nu3uNu9dUVVV1seqSLz986VAXWNcVUrDm7GfyO98JIbFzZ2hBxLz2Wvz6iYsv7vL4RFc+g3yZ0dfVcFgGTI6eTwaWJpRPMrM+ZjaMMPD8bNT19L6ZjY7GEy5sdUzsvc4GVnqhLvhUIPLlhy8dhdYFlk8KKVhz/jNZVga//nUIgbffhr5949vmzYuPT9x7b6fetqufQd3Iap6ccSrrZ32ZJ2ecmpP/m7072sHM7gFOBg4ws0bgv4BZwCIzmwK8CZwD4O4vmtki4CVgJzDN3WPfmYuIT2V9KPoCuB1YaGYNhBbDpIycmbSrbmR1XoZBa4MqK9q8JWs+doHlm0IL1rz5mezXD7ZvD8/r68ONiWLOOy98QVhq/LOfbfetCu0zSNRhOLj7ebvZNG43+18LXNtGeT1wVBvlfycKF5HWpteOaHPOdz52geUbBWsG1NTEu5RuvRWmTo1v+9zn4s+3bAn3o2ilkD8DXSEteS3n3Q0FrJDGlgrCv/1bCIpdu1JbDAMGxGc8JfSKF/Jn0GHLQSTX8qa7ocDEvme6Ej7DevUKXUoAmzZBdXXqdoBvfpO6228HCvMz0M1+REQy4Te/gTPPbHvbkiUwYULP1mc3dLMfESkohXJNxm595Svx6yemTEneVlcX73baurXt4/OMWg5S8rQIYe71xO1jc/I5u8e7mVobNgwaGna/PUvUchBJQyFdKFbMsn1NRs4+59gAtTu8807ytvXrw/UVZjBzZnbr0QUKBylphXShWDHL9vUAmfycu9z9tf/+8aBYtSp526xZ8W6nRx7pdJ2yQeEgJa2QL1IqJtleWylTn3PGWiCjR8eD4sc/Tt5WWxsPivff79z7ZpDCQUpaIS1CWMyyfT1Apj7nrLQ0Y/eW+OQTGDs2eVvfviEkZs8O23uQwkFKWiFfpFRMsn2xY6Y+56y2NM3g//4vBMX27TAuYRGKq66Kj0889NDu3yODdBGclDRdKJY/snmxY6Y+5x5bDqNvX3jssfB882a48ML469NPhz/+MXn5jizQVFYRkTT1xJTbdj33HCxfDpdfDnvt1aW3SHcqq1oOIiJpynlL87jjkleJzSKFg4hIJ5TKWl8akBYRkRQKBxERSaFwEBGRFAoHERFJoQFpESkJWn23cxQOIlL0Wl+fEFsTCVBA7Ia6lUSk6Gn13c5TOIhI0dPqu52ncBCRoqfVdztP4SAiRU+r73Ze3oSDmY03s3Vm1mBmM3JdHxEpHtleErwY5cVsJTMrA34GnAY0As+Z2TJ3fym3NRORYlEqayJlSr60HI4HGtz9dXf/GLgXmJDjOomIlKx8CYdqYGPC68aoLImZTTWzejOr37ZtW49VTkSk1ORLOFgbZSl3IXL3+e5e4+41VVVVPVAtEZHSlC/h0AgMSXg9GNiUo7qIiJS8fAmH54DhZjbMzPYAJgHLclwnEZGSlTf3kDaz04GfAGXAL9z92g723wa80RN166IDgLdzXYkeVmp3z3hyAAADEUlEQVTnXGrnCzrnYnCQu3fYL5834VBszKw+nZt4F5NSO+dSO1/QOZeSfOlWEhGRPKJwEBGRFAqH7Jmf6wrkQKmdc6mdL+icS4bGHEREJIVaDiIikkLhkCFmVmZma8zst9Hr/c3sUTN7LXrcL9d1zCQz22Bma83sj2ZWH5UV+zlXmtn9ZvaKmb1sZmOK+ZzNbET0+ca+/mpm3y3yc/6emb1oZi+Y2T1mtmcxn297FA6ZcxnwcsLrGcAKdx8OrIheF5tT3P2YhGl+xX7ONwMPu/vhwOcIn3fRnrO7r4s+32OAUcDfgAco0nM2s2rgUqDG3Y8iXHM1iSI9344oHDLAzAYDXwZuSyieACyIni8A6nq6XjlQtOdsZn2BE4HbAdz9Y3dvpojPuZVxwF/c/Q2K+5x7AxVm1hvYi7CMTzGf724pHDLjJ8BVwCcJZQPcfTNA9Ng/FxXLIgceMbPVZjY1Kivmcz4Y2Ab8b9R9eJuZ7U1xn3OiScA90fOiPGd3bwJ+DLwJbAa2u/sjFOn5dkTh0E1mdgaw1d1X57ouPWysux8LfAmYZmYn5rpCWdYbOBaY5+4jgQ8pke6FaL2zM4Ff5bou2RSNJUwAhgGDgL3N7Pzc1ip3FA7dNxY408w2EG5SdKqZ3QVsMbOBANHj1txVMfPcfVP0uJXQD308xX3OjUCjuz8Tvb6fEBbFfM4xXwKed/ct0etiPed/Bta7+zZ33wEsBj5P8Z5vuxQO3eTuM919sLsPJTS9V7r7+YRVZSdHu00GluaoihlnZnub2adiz4EvAi9QxOfs7m8BG80sdkf6ccBLFPE5JziPeJcSFO85vwmMNrO9zMwIn/HLFO/5tksXwWWQmZ0MXOnuZ5hZP2ARcCDhh+4cd383l/XLFDM7mNBagNDdcre7X1vM5wxgZscQJh3sAbwOfIPwB1Yxn/NehLs0Huzu26Oyov2czewa4FxgJ7AG+BawD0V6vu1ROIiISAp1K4mISAqFg4iIpFA4iIhICoWDiIikUDiIiEgKhYOIiKRQOIiISAqFg4iIpPj/s+IpPevSmBwAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(x, y)\n",
"plt.plot(x, line, color='red')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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