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Thursday, January 18

  1. page Matthew - Project edited ... 11-21-17 Biometrika ... be nonlinear, negative, positive, and a Link to my spreadsheet…
    ...
    11-21-17
    Biometrika
    ...
    be nonlinear, negative,positive, and a
    Link to my spreadsheet:
    https://docs.google.com/spreadsheets/d/108QSp0D9Hh6pw84b_4xn3OXDLE2CqGaLMrlwEtdiMeg/edit#gid=0
    Here is a graph of my comparison between length and Height:
    [[image:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAe4AAAHuCAYAAABZF+9WAAAgAElEQVR4Xu3dQWhd15kH8COPJ6DFIISy80bUCy9i4oR2NZLJMk2hzSIwXjgG7wxxMZhmZVuxHNnZpNRgcMCLgKithQdacAsNWhrZs2qbWNhQL1y8CbQLY8JADRmPNdw3PPXp+ck6ujr36tx7f28TOzrv3O/8vmP9dd+972lsbW1tLXgQIECAAAECjRAYE9yN6JMiCRAgQIBAT0Bw2wgECBAgQKBBAoK7Qc1SKgECBAgQyCa47969GxYWFsLS0lKYmprSGQIECBAgQGCEwIbgLoLz22+/DZcvXw7j4+Prw4tQPXnyZLh582Y4cODAlpBPnjwJR48eDceOHev9N+YRE9xFqK+srLxUX8z8xhAgQIAAgTYIVBLcZWAEdxk1zyFAgACBrgmUDu7+WfXy8nLP7MSJE+tnwv2vzc3NhZmZmXXT4oz+k08+2WB8586d3ph+cBfPKc7u79271xs3+PXZ2dkNz71x40b0GX3XGmu9BAgQINBOgVLBPSqYB19m/8ctEL1MHgHn4ZfniOIriLYB78AaB4afz69evr1729VN7OTWhVBAgQIBAv8FJwD58R96c6dOjQ+jXuIkD/+te/9oK5/3j48GE4depUuHLlSnj99dc3BPfg1/rXyEcF9/DNacPPE9zxjTWSAAECBNopUOqMe9RL3gVPP9yHg3vU9WvB3c4NZVUECBAgUK1A6eAuyho84x4sc1QoFy95D96tLrirbazZCRAgQKCdAqWCe6uXrGNCOWbM8EvlxZn78A8A7WyLVREgQIAAgdECpYK7CNQjR46EDz74YP2s+9mzZ+GXv/xl+Oijj3pHGrw5bdT7uovwDDDzfcNb7VNe7tvp9c0wkQIECAQNsESgV3gTD8drDi/3366ae9IB911/nw+F/96leheCtZ/87zUdfBR93UNnh93dvB2rYdrYcAAQIEthLYtY88LYL85zeZifn4/6NLatFuLrBAgQIECgCwK1BXdxY9pPfvKT9ZDe6jp5F/CtkQABAgQIbFegtuAefgvZ4AetbLdo4wkQIECAQFcFagvurgJbNwECBAgQSCkguFNqmosAAQIECFQsUEtw79u3r/frQj0IECBAgACBnQnUEtxjY2NhbW1tZ5V6NgECBAgQIBAEt01AgAABAgQaJCC4G9QspRIgQIAAAcHdoj1wZnE1PHj8Xfj++Yvw2t494eD0RLh0/M0WrdBSCBAgQEBwt2QPnF1cDV8/ehoGbyUYGwvhrf2T4TPh3ZIuWwYBAgSCa9xt2QTvz6/0zrSHH8WZ9635w21ZpnUQIECg8wLOuFuyBd47d3vTlXx18Z2WrNIyCBAgQEBwt2QPOONuSSMtgwABAlsICO6WbJHixrRvRlzjfnv/pBvUWtJjyyBAgEAhILhbtA+KG9TuD9xV/sb0hBvTWtRfSyFAgIDgtgcIECBAgEDDBJxxN6xhyiVAgACBbgsI7m733+oJECBAoGECgrthDVMuAQIECHRbQHB3u/9WT4AAAQINExDcDWuYcgkQIECg2wKCu9v9t3oCBAgQaJiA4G5Yw5RLgAABAt0WENzd7r/VEyBAgEDDBAR3wxqmXAIECBDotoDg7nb/rZ4AAQIEGiYguBvWMOUSIECAQLcFBHe3+2/1BAgQINAwAcHdsIYplwABAgS6LSC4u91/qydAgACBhgkI7oY1TLkECBAg0G0Bwd3t/ls9AQIECDRMQHA3rGHKJUCAAIFuCwjubvff6gkQIECgYQKCu2ENUy4BAgQIdFtAcHe7/1ZPgAABAg0TENwNa5hyCRAgQKDbAoK72/23egIECBBomIDgbljDlEuAAAEC3RYQ3N3uv9UTIECAQMMEBHfDGqZcAgQIEOi2gODudv+tngABAgQaJiC4G9Yw5RIgQIBAtwUEd7f7b/UECBAg0DABwd2whimXAAECBLotILi73X+rJ0CAAIGGCQjuhjVMuQQIECDQbQHB3e3+Wz0BAgQINExAcDesYcolQIAAgW4LCO5u99/qCRAgQKBhAoK7YQ1TLgECBAh0W0Bwd7v/Vk+AAAECDRMQ3A1rmHIJECBAoNsCrwzuhw8fhlOnToUrV66EAwcObJB68uRJOHr0aFheXu79/xMnToTLly+H8fHxl0THxsbC2tpat6WtngABAgQIJBAYGdx3794Ns7OzvekPHToUbt68uSG4nz17Fk6fPh0OHz7cC+/isbCwEL799tuR4S24E3QqsynOLK6GB4+/C98/fxFe27snHJyeCJeOv5lZlcrJQcBeSdcFluks654pZe9KnXEXwV4E9dLSUpiamuqt/1Vn54K77i1S7fHOLq6Grx89DYMvooyNhfDW/snwmfCuFr9hs9sr6RrGMp1l3TOl7l2p4C4Ce2VlZcPZdf+l87m5uTAzM7PBRXDXvU2qPd778yu9M+3hR3HmfWv+cLUHN3ujBOyVdO1imc6y7plS9y5ZcI96+fzChQthfn5+3aj48/nz5+s2c7zEAu+du73pjF9dfCfx0UzXZAF7JV33WKazrHum1L2rNLj7OM64694m1R4v9U+P1VZr9t0UsFfS6bNMZ1n3TKl7lyy4vVRe91bYveMVN1l8M+Ia99v7J92gtnttyfLI9kq6trBMZ1n3TKl7Vyq43ZxWd9vzO15xs8X9gbvK35iecGNafm3KoiJ7JV0bWKazrHumlL0rFdzeDlZ3yx2PAAECBAj8v8CW7+PuQw2/n9sHsNhCBAgQIECgfgEfeVq/uSMSIECAAIHSAoK7NJ0nEiBAgACB+gUEd/3mjkiAAAECBEoLCO7SdJ5IgAABAgTqFxDc9Zs7IgECBAgQKC0guEvTeSIBAgQIEKhfQHDXb+6IBAgQIECgtIDgLk3niQQIECBAoH4BwV2/uSMSIECAAIHSAoK7NJ0nEiBAgACB+gUEd/3mjkiAAAECBEoLCO7SdJ5IgAABAgTqFxDc9Zs7IgECBAgQKC0guEvTeSIBAgQIEKhfQHDXb+6IBAgQIECgtIDgLk3niQTSCJxZXA0PHn8Xvn/+Iry2d084OD0RLh1/M83kZiFAoHUCgrt1LbWgJgmcXVwNXz96GtbW/ln12FgIb+2fDJ8J7ya1Uq0EahMQ3LVROxCBlwXen1/pnWkPP4oz71vzh5ERIEDgJQHBbVMQ2EWB987d3vToX118Zxcrc2gCBHIVENy5dkZdnRBwxt2JNlskgaQCgjspp8kIbE+guDHtmxHXuN/eP+kGte1RGk2gMwKCuzOtttBcBYob1O4P3FX+xvSEG9NybZa6CGQgILgzaIISCBAgQIBArIDgjpUyjgABAgQIZCAguDNoghIIECBAgECsgOCOlTKOAAECBAhkICC4M2iCEggQIECAQKyA4I6VMo4AAQIECGQgILgzaIISCBAgQIBArIDgjpUyjgABAgQIZCAguDNoghIIECBAgECsgOCOlTKOAAECBAhkICC4M2iCEggQIECAQKyA4I6VMo4AAQIECGQgILgzaIISCBAgQIBArIDgjpUyjgABAgQIZCAguDNoghIIECBAgECsgOCOlTKOAAECBAhkICC4M2iCEvITOLO4Gh48/i58xFeG3vnnBweiJcOv5mJYX+9PxKeP6/L9bn3vsve8LvLxyu5FgmJUDg/wXq/Dee2lxwpxY1X+MFzi6uhq8fPQ1ra/9cythYCG/tnwyfJQ7v4dDuH1F4N34bWUDGAnX+G6+CQXBXoWrORgu8P7/SO9MefhRn3rfm054Jv3fu9qZWX118p9GOiieQq0Cd/8arMBDcVaias9ECdYZpncdqdFMUTyChQNP/3QnuhJvBVO0QqPOn8aZ/A2lHx62iawJ1/huvwlZwV6FqzkYLFDetfDPiGvfb+yeT36DmGnejt4riGypQ57/xKogEdxWq5my8QHHzyv2Bu8rfmJ5IfmNaH8ld5Y3fLhbQQIE6/42n5hHcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWENypRc1HgAABAgQqFBDcFeKamgABAgQIpBYQ3KlFzUeAAAECBCoUENwV4pqaAAECBAikFhDcqUXNR4AAAQIEKhQQ3BXimpoAAQIECKQWKB3cDx8+DEeOHAn37t3r1XTo0KFw8+bNcODAgZdqHBsbC2tra6lrNx8BAgQIEOicQKng7of21atXw8zMTA9taWkpfP755yPDW3C3b1/9x6X/Cv/97H/WF/Zv4/8a/vPsv7dmoWcWV8ODx9+F75+/CK/t3RMOTk+ES8ffbM366lxInZZ1HqtOQ8ciMChQKrjv3r0bFhYWemE9NTXVm+/Jkyfh6NGjYW5ubj3M+wcS3O3adMOh3V9dW8L77OJq+PrR0zD4ItHYWAhv7Z8MnwnvbW3mOi3rPNa2EAwmkFigVHD3z7g/+OCDXlAXj1FhLrgTdyuT6d47d3vTSr66+E4mVZYv4/35ld6Z9vCjOPO+NX+4/MQdfGadlnUeq4OttOSMBEoF9+AZ9vLycm8577777oYz8OL/XbhwIczPz68vt/jz+fPnM1q+UsoItD24276+Mj0v+5w6Les8VlkPzyOQQqBUcA+/LF6cbc/Ozo4M76JIL5WnaFU+c7T9G6Qzt3R7rU7LOo+VTshMBLYvUCq4i+vbxaP/MvngGfixY8d617oHH4J7+43J+Rltv8Zd3OD0zYhr3G/vn3SD2jY3Zp2WdR5rmwyGE0gqkCy4nz17Fk6fPh327du3IdCdcSftVzaTtf2u8uJGp/sDd5W/MT3hxrSSu69OyzqPVZLD0wjsWKBUcPdfGr9z5876HeTF/zt58qS3g+24JSYgQIAAAQKbC5QK7mI6H8BiWxEgQIAAgfoFSgf3dkp1jXs7WsYSIECAAIEKzri3gyq4t6NlLAECBAgQENz2AAECBAgQaIWAl8pb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kp62TAAECBFohILhb0UaLIECAAIGuCAjurnTaOgkQIECgFQKCuxVttAgCBAgQ6IqA4O5Kpxu+zjOLq+HB4+/C989fhNf27gkHpyfCpeNvNnxVu1N+my3rXtt/XPqv8N/P/me9kf82/q/hP8/+e2WNrXt9lS3ExDsSENw74vPkOgTOLq6Grx89DWtr/zza2FgIb+2fDJ8J7221oM2Wda9tOLT7jagqvOte37Y2lsG1CgjuWrkdrIzA+/MrvTPt4Udx5n1r/nCZKTv7nDZb1r22987d3nQffXXxneR7rO71JV+ACZMJCO5klCaqSqDub5BVrSOHedtsWffa2n68HParGkYLCG47I3sBZxrpWtRmy7rXVndw172+dLvOTKkFBHdqUfMlFyhuyPlmxDXut/dPukFtm9pttqx7bXVf4657fdvcWobXKCC4a8R2qPICxY059wfuKn9jesKNaSU522xZ99rqvqu87vWV3GKeVrGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQsYDgrhjY9AQIECBAIKWA4E6paS4CBAgQIFCxgOCuGNj0BAgQIEAgpYDgTqlpLgIECBAgULGA4K4Y2PQECBAgQCClgOBOqWkuAgQIECBQscCOgvvJkyfh6NGjYXl5uVfmp59+Gubm5l4qeWxsLKytrVW8FNMTIECAAIH2C5QO7rt374bZ2dlw48aNXni/6vGq4D6zuBoePP4ufP/8RXht755wcHoiXDr+ZvvlK1ghywpQWzilfdLCplpSpwRKBXf/TPvYsWNbhnahuVlwn11cDV8/ehoGT8bHxkJ4a/9k+Ex4b2sjstwWV2cH2yedbb2Ft0igVHAXZ9sLCwthaWkpTE1NbcmxWXC/P7/SO9MefhRn3rfmD285rwH/FGBpN8QI2CcxSsYQyFugVHAXgf3rX/86/P3vfw/37t1bX+GdO3fCzMzM+t8vXLgQ5ufn1/9e/Pn8+fPrf3/v3O1Ndb66+E7ecplVxzKzhmRajn2SaWOURWAbAqWD+/r16xvOuB8+fBiOHDkSrl69uiG8X/VSuZ/+t9GpLYayTGfZ5pnskzZ319q6IlA6uFdWVsLly5fD+Pj4ulXx8nnxGL6zfLOXyoubZL4ZcY377f2TblDb5g5kuU2wjg63TzraeMtulUCp4N7sGvd2g7uQLG6WuT9wV/kb0xNuTCu5xViWhOvY0+yTjjXcclsnUCq4nz17Fk6fPh327du3fnZdhPnJkyfDzZs3w4EDBzZAeR936/aNBREgQIDALgmUCu6i1n54X7t2rVf6oUOHRoZ28TXBvUvddVgCBAgQaJ1A6eDejoTg3o6WsQQIECBAYHMBwW13ECBAgACBBgkI7gY1S6kECBAgQEBw2wMECBAgQKBBAoK7Qc1SKgECBAgQENz2AAECBAgQaJCA4G5Qs5RKgAABAgQEtz1AgAABAgQaJCC4G9QspRIgQIAAAcFtDxAgQIAAgQYJCO4GNUupBAgQIEBAcNsDBAgQIECgQQKCu0HNUioBAgQIEBDc9gABAgQIEGiQgOBuULOUSoAAAQIEBLc9QIAAAQIEGiQguBvULKUSIECAAAHBbQ8QIECAAIEGCQjuBjVLqQQIECBAQHDbAwQIECBAoEECgrtBzVIqAQIECBAQ3PYAAQIECBBokIDgblCzlEqAAAECBAS3PUCAAAECBBokILgb1CylEiBAgAABwW0PECBAgACBBgkI7gY1S6kECBAgQEBw2wMECBAgQKBBAoK7Qc1SKgECBAgQENz2AAECBAgQaJCA4G5Qs5RKgAABAgQEtz1AgAABAgQaJCC4G9QspRIgQIAAAcFtDxAgQIAAgQYJCO4GNUupBAgQIEBAcNsDBAgQIECgQQKCu0HNUioBAgQIEBDc9gABAgQIvCRwZnE1PHj8Xfj++Yvw2t494eD0RLh0/E1SGQgI7gyaoAQCBAjkJHB2cTV8/ehpWFv7Z1VjYyG8tX8yfCa8d71VgnvXW6AAAgQI5CXw/vxK70x7+FGced+aP5xXsR2sRnB3sOmWTIAAgVcJvHfu9qZf/uriO/B2WUBw73IDHJ4AAQK5CTjjzq0jG+sR3Hn3R3UECBCoXaC4Me2bEde4394/6Qa12rvx8gEFdwZNUAIBAgRyEyhuULs/cFf5G9MTbkzLpEmCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgI7hglYwgQIECAQCYCgjuTRiiDAAECBAjECAjuGCVjCBAgQIBAJgKCO5NGKIMAAQIECMQICO4YJWMIECBAgEAmAoI7k0YogwABAgQIxAgkCe6lpaXw4Ycfhjt37oSZmZmXjjs2NhbW1tZi6jGGAAECBAgQeIXAjoP77t27YXZ2tncIwW2vEchf4Mzianjw+Lvw/fMX4bW9e8LB6Ylw6fiblRVe9/EqW4iJCWQisKPgLkL75MmT4erVq2FhYSHMzc05486kscogMErg7OJq+PrR0zD4AtjYWAhv7Z8Mn1UQ3nUfT9cJdEGgdHA/fPgwnDp1Kly5ciW8/vrr4ejRo4K7CzvGGhst8P78Su9Me/hRnHnfmj+cfG11Hy/5AkxIIEOBUsH95MmTDUE9/Pf+Oi9cuBDm5+fXl138+fz58xkyKIlANwTeO3d704V+dfGd5Ah1Hy/5AkxIIEOBbQf3qJDeLLj763VzWoadV1InBeo+A677eJ1sqkV3TqB0cC8vL4/EOnHiRLh8+XIYHx9f/7rg7ty+suBMBYobxb4ZcY377f2TldygVvfxMmVXFoGkAtsO7lFHd8adtCcmI1CpQHHD2P2Bu8rfmJ6o5Ma0/iLqPl6leCYnkIGA4M6gCUogQIAAAQKxAoI7Vso4AgQIECCQgUCS4N5qHa5xbyXk6wQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAER8IioAAAkSSURBVAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAQ3Fm0QREECBAgQCBOQHDHORlFgAABAgSyEBDcWbRBEQQIECBAIE5AcMc5GUWAAAECBLIQENxZtEERBAgQIEAgTkBwxzkZRYAAAQIEshAoFdzPnj0Lp0+fDteuXVtfxIkTJ8Lly5fD+Pj4SwsbGxsLa2trWSxYEQQIECBAoMkCpYL74cOH4csvvwwXLlzoBXU/yAuIUeEtuJu8RfKo/czianjw+Lvw/fMX4bW9e8LB6Ylw6fibeRSnCgIECNQoUCq4R9V39+7dsLCwEJaWlsLU1NSGIYK7xo628FBnF1fD14+ehsEXbcbGQnhr/2T4THi3sOOWRIDAqwSSBXcR2NevXxfc9ltygffnV3pn2sOP4sz71vzh5MczIQECBHIWSBLcT548CUePHg0zMzNhbm5ufb3FS+nz8/Prfy/+fP78+Zw91JahwHvnbm9a1VcX38mwYiURIECgOoEdB/dW17eL0r1UXl0DuzCzM+4udNkaCRCIFdhRcMeEtuCObYVxmwkUN6Z9M+Ia99v7J92gZtsQINA5gdLB3X95fHp6etO3gfU1nXF3bl8lX3Bxg9r9gbvK35iecGNacmUTEiDQBIFSwb3ZNe3NFiy4m7AV1EiAAAECTRAoFdzFW79mZ2dHru/GjRu9G9UGH4K7CVtBjQQIECDQBIFSwb3dhQnu7YoZT4AAAQIERgsI7hbujJ/97Gfhd7/7XQtXZkkpBeyTlJrtncs+ya+3tQX3H4x/xW39KKfvSjHwXeLW1uwmXZJwkxWzyVfbI7zf3hD3+46YFrCe7imnfx+eYe9Qj86U9/Cq9qej1VOEruAvZJ7h3Koz77pP4+/PSnP33lh5XVEtz1L7vbR3RPQbf7H7t6+yRWqtvj7JP8+i+48+vJjiv6/e9/H4qf2DwIvErAPrE/YgTskxilescI7nq9HY0AAQIECOxIQHDviM+TCRAgQIBAvQKCu15vRyNAgAABAjsSENw74tudJ/d/ucu1a9fWCzhx4sSGz4wfNaY/+M6dO71fwerRboFRe+DQoUPh5s2b4cCBA+uL73+E8fLycuDe+lditZXcw+8f0kr30iuPPqR1Q1xVvrvvzyy1D8vvPx8fEw6re09f/f4cOHX/oI2qiDGNR4gSKQv/jii/Dxxx/39knxWFpaCtevX+/9d2pqan3vDO6ThYWF8O233275y4MaD2QBPYGy+wTf7gkI7t2zT3rk4vPji2+4r/qGnPSAJmukQPFD36lTp8KVK1d6Z93D+6ZY1PCYRi5U0TsSGN4DTgR2xJn8yYI7OenuTBhzJrU7lTlqTgLFD3fFY25ubv0MfGVlZcPZdf+l82KMSyo5da++Wob3ieCuzz7mSII7RinzMaN+zWrMdavMl6W8RAKD17CH728ofuAbDm7fpBPBN2yaV+0T30/yaqbgzqsf265m1PXtzSYpvklvnnL92ctO2DekJjBYozqeLl8f4lFcHd2FZWWvjwPhl1MN9PKm3BKycX3Ltnv+Mjbye0i4P1f6I+duyYG9Z2rN/MCYZfBh8V3F4qb2ZvU1Ydswd8P0kpvr25BPf2vLIZ3f9HMz09HX33b8w/xmwWqJBKBIb3gJvTKmFu/KQx3ytixjQeItMFCO5MG/OqskZd0x4eX9wV+ocCGcPn16/UsxL381kEPJmwgUofz48eMNr64Mv9Vr1PVsbwfr1paK2Se+n+S1JwR3Xv2Iqqb4hzY7Ozty7I0bN3rfqIc/VKMY7IM1onhbMyh2D/gAlta0vNRCYvZJzJhSB/ekUgKCuxSbJxEgQIAAgd0RENy74+6oBAgQIECglIDgLsXmSQQIECBAYHcEBPfuuDsqAQIECBAoJSC4S7F5EgECBAgQ2B0Bwb077o5KgAABAgRKCQjuUmyeRIAAAQIEdkdAcO+Ou6MSaIWAT89qRRstomECgrthDVNu9wSKT606cuRIuHr16q7+mk2fa969vWfFeQoI7jz7oioC6wKC22YgQGBQQHDbDwQyF4gJ7v6Ye/fu9Vbz6aefhrm5ud6f+79IpPj7yZMnQ3/M8O/mHvWxlu+++27vV4D+5S9/eeljdouP1/3xj3/c+4jdX/ziF+E3v/lNuHbt2kvHz5xXeQQaJyC4G9cyBXdNYKvgLr5+6tSpcOXKlXDgwIHQ/8Uh+/bt64V3/7PtBz+rvgjj69evr/9e7lG/onH4N4e96qXyv/3tb+u/532rervWP+slkFpAcKcWNR+BxAJbBWHx27x+8IMfbPgtYIOhW5wtF2OK4J2amupVNxz2o0J5O8Fd/IAwMzPTm3vUbxxLTGI6Ap0WENydbr/FN0HgVcHdD8n+S9SD6xl8mXur4C6+Xjz6L68PvsTeD/zYm9MEdxN2lRqbLCC4m9w9tXdCICa4Dx8+vOGMexBm+Mx51Bn3VmftxZm64O7EdrPIBggI7gY0SYndFoh5qXz4bLlMcG91xl38AFBcF798+XIYHx/vHWLU+7idcXd7v1p99QKCu3pjRyCwI4Gtgrt/81lxl3dxh3c/UL/44ovw8ccfhz//+c9bXuMu5ijuOL958+aGG9weP368fm18eIzg3lFbPZlAaQHBXZrOEwnUIzD8Vq/Bo/bf0jVqTD/IY14qL+bs/wBQ/PnQoUPho48+Cr/97W833NRWvKT+ySef9EoYfDuYm9Pq2QuOQqAQENz2AQECIwVGvTSOigCB3RcQ3LvfAxUQ2HWB4lp1/6X14vq169S73hIFENhUQHDbHAQIrN9ktry8vK4xeM0cEQEC+QgI7nx6oRICBAgQILClgODeksgAAgQIECCQj4DgzqcXKiFAgAABAlsKCO4tiQwgQIAAAQL5CPwfyYaQrg8cU/sAAAAASUVORK5CYII= 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]]
    Simple linear regression results:
    Dependent variable: HeelVariable: Height (cm)
    Independent variable: ShoeVariable: Length (cm)
    Heel Height (cm)

    Height
    = 7.60344836.2022948 + .93268610.046866726 Length
    Sample Size: 30size: 29
    R (correlation coefficient) = 0.083632792
    R-sq = 0.0069944439
    Estimate of error standard deviation: 2.1242124

    Regression Equation: 7.60344836.2022948 + .9326861x0.046866726x
    [[image:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdIAAAHSCAYAAABYYEo2AAAgAElEQVR4Xu3dX4he5b0v8GditjCF3XEYz2lBDgzNRXpQjLaFA3smeGktWKHCzkUMeBcwm0CoV8aYiTHeWDoQGiEXQmgyF9lQwQqVXMokmx5o1QTlmAslcBDsOQ02Z0MD7jRzWO92Tde8eWfm/bP+Pc/6vCAmmXet5/d8fs/Md9Z61/uuqbW1tbXgQYAAAQIECIwlMCVIx3KzEQECBAgQ6AkIUguBAAECBAhMICBIJ8CzKQECBAgQEKTWAIEJBW7evBn2798fLl26FC5cuND7c1cexbm/+uqr4dixY0NPfWVlJTz33HPhySefDNmf5+bmht7WEwm0SUCQtqkbaukJXLlyJSwuLvb+fPny5bCwsNAKmbyuPXv2hIsXL4bdu3f36oolSG/fvh2OHDkSzp49Gw4ePBiWl5fD9PT0ROZ1BOlm7q1YFIog4DVSa6CNAoK0mq5UEaSTVDrsEakgnUTZtnUIOCKtQ9kYIwkMG6TFo6F8gOLpxeIP4DNnzoSTJ0/2Tr9mj/5TsNevXw/79u0LV69e3VBrfvT55zef0oufiE7Ij5+9/oZTu59nl45ZVXek/rP/Irblscs1hP8d/zI/KiSb6PUU+JjhOkxW3ycYtz2uxofDvP7Gi+GKTZKeFDhw6t+28177adqRhpcXtykgKCNMm2xj2pYYI0f07+Qz2bcX7aMg/T4n7y0Pn00097gVg8PbtVcBWfN8yp3fyHfH+4DnrdtBhSxV8A8oDJ5/b222/f81piFmBHjx4Np06dGvq1xVGDNHf57ne/u/4aZvbLSPZLQl7bX613teHx7WM59n8ReOQXN1RBr393MXqhekXehyZHPcLkiLgVA8kus/VThsaPaHQ/a64aAf3sMEaV7PZiHZ34p8n3nQf+tb31r/hSDf16D6xmnpoKPLQfvJjwbzcTc7ys9eJ37wwQfvCdJhPQed2h3FfRwD2xCoQkCQVqFqnxMJbBekg07pFgcc5ejzBz/4wT1Hstm+RvmBPuj05rBBmm/75Zdf9i5gyoMp/3vxFGhxjv0XPA0DPsoRadFl0L7z8fuD9Gc/+9nQnoJ0mK55TgwCgjSGLnWsxlGCdKu3mwwKw/7Tjk0Hadba/Agum8v8/Hzv1HP/a6vF06D5chg1TMcN0q3e1tL/S4Qg7dg3q+n2BASphdA6ge2CdNijvWGCNHtrzbCnIqs4tVs8+s3C89vf/nZ44403tnzbT/8vA8XXY7cKvVGCdDOX/sUy6Gh8WE9HpK371lPQmAKCdEw4m1UnsF2QFsMn+3PxvabZtufPn++9R/KDDz4o9cKiQRfRZONPcmo32z4PuN/vfhO9/5Tpiamlq/uCf/2oEDB9bfT9v/umq2j/wDIcoM0q2uKl5aWgq/+tWveoug/8Mohj0tPmyQbuZe3Qq0ZwKjCQjS0bw8uwaBQW/1yIctvuVjs9dK+6/a3e4K3f5gLk6xRp/ynWQW9/yYJl2KPmfKzifothuNkFQpu9BaXMIC2GfPYhDsXHVlftDus5bJBm+xvk3pYP6qjhW8IQLRcQpC1vkPKaEeg/6vPxdZP1gedkfrZut4AgbXd/VNeAwKhHkw2UGNWQPKNql2LHEBCkY6DZJC2BzU4Rd+0D6MvqKs+yJO0nFgFBGkun1EmAAAECrRQQpK1si6IIECBAIBYBQRpLp9RJgAABAq0UaE2QZlf1ZW/kdoPfVq4TRREgQIDAJgIbgjQLsi+++GLDDX+z7bKQy25xVLyZ8Vai+cUG2ZvIB931YtC2wwRpFrKrq6v31Ke7BAgQIECgKYFKgnScyQjScdRsQ4AAAQJNC4wdpP2XuA/6pJXsZr3FTx/JP4OzOOniDXyzr49yg19vT2h6+RifAAECBMYK0jxEi0FZPC2c3+x3s69n93vs30f/jZqz52SncrPPTc1fN3Vq14IlQIAAgbYJ3BOkr7zyysAai585mgXa559/3jt6zB/ZB0sfPnw4nD59ev2einmQFr+W3V8xewwK0v6Ljfq3E6RtWz7qIUCAAIGxjkgHnaLNKPtv9psH6aDXPwWpxUeAAAECKQiMHaTZ5ItHpEWMQSGZ39oqO2XriDSFpWMOBAgQIJAJjBWk251iHeZoc5jn9J/aLd5rMg9kbSRAgAABAk0KjBWk+Y12n3322fWj0uwOD7/4xS/CCy+80JtP9v7R/NTuoPeV5vcX7L9qt/iBDIOCdJT3szYJa2wCBAgQ6IbAWEFaPDV76dKldan8psKDrurtf7vML3/5y5Btu9XrqIMuUiq+PuvtL91YpGZJgACBNgs09hGBWbD+y7/8S1haWgr5lbxthlIbAQIECBAYJFBbkC4vL4ef/OQn66G53eus2kWAAAECBGIQqC1I+98yU/wkpBig1EiAAAECBBo9IsVPgAABAgRSFKjtiDRFPHMiQIAAAQKVB+m7774bnn76adIECBAgQCBJgcqDdGpqKqytrSWJZ1IECBAgQECQWgMECBAgQGACAUE6AZ5NCRAgQICAILUGCBAgQIDABAKCdAK8pjZ96dy18MmNW+HrO3fD/Tt3hEfmZ8Kp5x9tqhzjEiBAoNMCgjSy9h89dy18+NlXoXj91tRUCI/tmg2vC9PIuqlcAgRSEBCkkXXxmaXV3pFo/yM7Mn1naW9ks1EuAQIE4hcQpJH18KmX39+04vdeeyKy2SiXAAEC8QsI0sh66Ig0soYplwCB5AUEaWQtzi40+mjAa6SP75p1wVFkvVQuAQJpCAjSCPuYXXD0ceGq3YfnZ1xoFGEflUyAQBoCgjSNPpoFAQIECDQkIEgbgjcsAQIECKQhIEjT6KNZECBAgEBDAoK0IXjDEiBAgEAaAoI0jT6aBQECBAg0JCBIG4I3LAECBAikISBI0+ijWRAgQIBAQwKCtCF4wxIgQIBAGgKCNI0+mgUBAgQINCQgSBuCNywBAgQIpCEgSNPoo1kQIECAQEMCgrQheMMSIECAQBoCgjSNPpoFAQIECDQkIEgbgjcsAQIECKQhIEjT6KNZECBAgEBDAoK0IXjDEiBAgEAaAoI0jT6aBQECBAg0JCBIG4I3LAECBAikISBI0+ijWRAgQIBAQwKCtCF4wxIgQIBAGgKCNI0+mgUBAgQINCQgSBuCNywBAgQIpCEgSNPoo1kQIECAQEMCgrQheMMSIECAQBoCgjSNPpoFAQIECDQkIEgbgjcsAQIECKQhIEjT6KNZECBAgEBDAoK0IXjDEiBAgEAaAoI0jT6aBQECBAg0JCBIG4I3LAECBAikISBI0+ijWRAgQIBAQwKCtCF4wxIgQIBAGgKCNI0+mgUBAgQINCSwaZBev349HD58OJw+fTrs3r17Q3k3b94M+/fvD5cuXer9+8GDB8Py8nKYnp6+ZxpTU1NhbW2toekZlgABAgQIVCtwT5BeuXIlLC4u9kbds2dPuHjx4oYgvX37djhy5EjYu3dvL0yzx8mTJ8MXX3wxMEwFabUNrHLvL527Fj65cSt8feduuH/njvDI/Ew49fyjVQ5p3y0UsA7Gawq38dzq2qrM/ox8RJoFbRacKysrYW5urjfnrY5eBWldy6LccY6euxY+/OyrUDyZMDUVwmO7ZsPrwrRc7BbvzToYrzncxnOra6uy+zNykGYBurq6uuHoMz/Ve+zYsbCwsLDBQpDWtTTKHeeZpdXekWj/IzsyfWdpb7mD2VtrBayD8VrDbTy3urYquz+lBOmg070nTpwIS0tL6y7Zn48fP16Xk3EmFHjq5fc33cN7rz0x4d5tHouAdTBep7iN51bXVmX3p7IgzUEckda1NModp+zf2Mqtzt7qErAOxpPmNp5bXVuV3Z9SgtSp3braX9842QvxHw14jfTxXbMuOKqvDY2PZB2M1wJu47nVtVXZ/Rk5SF1sVFermx8ne0H+48JVuw/Pz7jQqPm21F6BdTAeObfx3Oraqsz+jByk3v5SV5uNQ4AAAQIxCGz5PtJ8Av3vJ/WBDDG0Vo0ECBAgUIeAjwisQ9kYBAgQIJCsgCBNtrUmRoAAAQJ1CAjSOpSNQYAAAQLJCgjSZFtrYgQIECBQh4AgrUPZGAQIECCQrIAgTba1JkaAAAECdQgI0jqUjUGAAAECyQoI0mRba2IECBAgUIeAIK1D2RgECBAgkKyAIE22tSZGgAABAnUICNI6lI1BgAABAskKCNJkW2tiBAgQIFCHgCCtQ9kYnRLI7nX4SeH2c4/Mz7iHa6dWgMl2TUCQdq3j5lupQHaPww8H3BD9sV2z7uVaqbydE2hOQJA2Z2/kBAWeWVoNX9+5e8/M7t+5I7yztDfBGZsSAQKC1BogUKLAUy+/v+ne3nvtiRJHsisCBNoiIEjb0gl1JCHgiDSJNpoEgZEEBOlIXJ5MYGuB7EKjjwa8Rvr4rlkXHFk8BBIVEKSJNta0mhPILjj6uHDV7sPzMy40aq4dRiZQuYAgrZzYAAQIECCQsoAgTbm75kaAAAEClQsI0sqJDUCAAAECKQsI0pS7a24ECBAgULmAIK2c2AAECBAgkLKAIE25u+ZGgAABApULCNLKiQ1AgAABAikLCNKUu2tuBAgQIFC5gCCtnNgABAgQIJCygCBNubvmRoAAAQKVCwjSyokNQIAAAQIpCwjSlLtrbgQIECBQuYAgrZzYAAQIECCQsoAgTbm75rZBILvF2SeFu7I8Mj9Tya3Nnj6+Gu787e762Dvv2xHePbFXNwgQGEKgru/TIUoZ+imCdGgqT4xZILu12YcD7hP62K7ZUm9x1h+iuZkwjXn1qL0ugbq+T8uejyAtW9T+WinwzNJq+PrO348S8yLv37kjvLNU3tHiUy+/v+n833vtiVbaKIpAWwTq+j4te76CtGxR+2ulQF0BV9c4rURWFIEJBWL9/hGkEzbe5nEI1PWbbqw/COLooipTF6jr+7RsR0Fatqj9tVIgu4DhowGvkT6+a7bUC468RtrK9isqEoG6vk/L5hCkZYvaX2sFsgsZPi5ctfvw/EypFxrlE3fVbmuXgMIiEKjr+7RMCkFapqZ9ESBAgEDnBARp51puwgQIECBQpoAgLVPTvggQIECgcwKCtHMtN2ECBAgQKFNAkJapaV8ECBAg0DkBQdq5lpswAQIECJQpIEjL1LQvAgQIEOicgCDtXMtNmAABAgTKFBCkZWraFwECBAh0TkCQdq7lJkyAAAECZQoI0jI17YsAAQIEOicgSDvXchMmQIAAgTIFBGmZmvZFgAABAp0TEKSda7kJEyBAgECZAoK0TE37IkCAAIHOCQjSzrXchAkQIECgTAFBWqamfREgQIBA5wQEaedabsIECBAgUKaAIC1T074IECBAoHMCgrRzLTdhAgQIEChTQJCWqWlfBAgQINA5AUHauZabMAECBAiUKSBIy9S0LwIECBDonIAg7VzLTZgAAQIEyhQQpGVq2hcBAgQIdE5AkHau5SZMgAABAmUKCNIyNe2LAAECBDonIEg713ITJkCAAIEyBQRpmZr2RYAAAQKdExCknWu5CRMgQIBAmQKCtExN+yJAgACBzgkI0s613IQJECBAoEwBQVqmpn0RIECAQOcEBGnnWm7CBAgQIFCmwFhBev369bBv375w9erVXi179uwJFy9eDLt3776ntqmpqbC2tlZmzfZFgAABAgRaIzBykOYheubMmbCwsNCbyMrKSnjjjTcGhqkgbU2vRy7kn0/9W/j32/+xvt0/Tv9D+Nej/zTyftqywUvnroVPbtwKX9+5G+7fuSM8Mj8TTj3/aFvKa20ddbnVNU5roRUWrcDIQXrlypVw8uTJXnjOzc31Jn7z5s2wf+cOzYsfVwzUUEaZxroz9E81nEGqZHz10LH372VSieHJmaCuGxXbPhdWG66SKty62uceL8blR12wVGDtL8iPTZZ5/tBWf2GBSugrTtrd+6vqdefn/TJ7z32hPRTe6ZpdXekWj/IzsyfWdpb3TzqavgutzqGqcuN+O0XCD7jTr7Tbqkx8hBWjwCvXTpUq+MJ598csMRavZvJ06cCEtLS+tlZn8+fvx4SWXbTdUCqQVpavOpuv/5/utyq2ucutyMU6/A3a/+Eu7+5Vb42zf/7/39q1vhb3+5FfKvZf8v/r1Y4X/7X/9zooJHDtL+07jZ0eji4uLAMM0qc2p3ov40tnFqP9gc8Yy3lOpyq2uc8RRsVYvA2lq4e+vf2/LAS/+XsvAPOvDfjzjtmZsOOBB8J93/x/8N9nwn2zD4QdD8yEHbMPlDqlkYM0e300e+SndYtHqAcOHOi9Vlp8CNJS+1XbzlJ7jTS7kOWjAa+RPr5r1gVHW6yqutzqGqe2b6CuD5SFYhZ4Ix4l7pj59n8GXfb/vj/ft8m/Z88r8zTtOK0rJUhv374djhw5Eh566KENAeuIdJyWtGeb1K7azS5o+bhw1e7D8zMuNBpiudXlVtc4Q0zZU/oExjl12vRRYp1NHDlI81O5ly9fXr9CN/u3Q4cOeftLnZ0zFgECBEYRqPPU6QMzjR8ljkIz6XNHDtJsQB/IMCm77QkQIDCZwFhHiZGeOp1MqvqtxwrSUcryGukoWp5LgECnBOo8Siz5AptO9WmbyQpSq4EAAQIlCThKLAkyst0I0sgaplwCBCoWcJRYMXB6uxek6fXUjAgQKAg4SrQcqhYQpFUL2z8BApMLOEqc3NAeKhMQpJXR2jEBAgMFOvZmfasgfQFBmn6PzZBApQJjnTpt+CPdKgWx884JCNLOtdyECQwQqPPUacferG+9pS8gSNPvsRl2UGCso0Rv1u/gSjHlMgQEaRmK9kGgCoE6jxK9Wb+KDtpnRwQEaUcabZrNCzhKbL4HKiBQhYAgrULVPtMVcJSYbm/NjMCYAoJ0TDibJSDgbRgJNNEUCDQvIEib74EKShIY69Spt2GUpG83BLorIEi72/t2zrzOU6fehtHONaAqApEJCNLIGhZbuWMdJXobRmxtVi+BTgsI0k63f8jJ13mU6G0YQzbF0wgQaIuAIG1LJ2qsw1FijdiGIkAgeQFBGmuLHSXG2jl1EyCQmIAgbUlDHSW2pBHKIECAwIgCgnREsC2f7iixTE37IkCAQBQCgnSzNnmzfhQLWJEECBBoWqAzQTrWqVNv1m96fRqfAAECrReIK0jrPHXqzfqtX7wKJECAQBsE2hGka2vhb3z+Fv/+fPn/b/58t/hv33xthzfrt2HdqIEAAQIEvhFoRZD+7+P8J9/+XBcN9/fXD9/zuyv/f9W/b3MDWleQQIECBAoDUCrQjSsLYmIFuzJBRCgAABAqMItCNIR6nYcwkQIECAQIsEBGmLmqEUAgQIEIhPQJDG1zMVEyBAgECLBARpi5qhFAIECBCIT0CQxtczFRMgQIBAiwQEaYua0dVSXjp3LXxy41b4+s7dcP/OHeGR+Zlw6vlHu8ox9LxTc6trPv986t/Cv9/+j3Xnf5z+h/CvR/9paPdhn1jXfIatx/OqExCk1dna8xACR89dCx9+9lXvHVD5I3ur8GO7ZsPrwnRTwdTc6ppPf4jmwGWHaV3zGeJbzFNqEBCkNSAbYnOBZ5ZWe0ei/Y/syPSdpb3oNhFIza2u+Tz18vubrqn3XnuitPVW13xKK9iOJhIQpBPx2XhSgbp+sE1aZ9u2T82trvmkNk7b1mVX6xGkXe18S+btN/fxGpGaW13zqStI65rPeKvHVmULCNKyRe1vJIHsgoyPBrxG+viuWRccbSGZmltd86nrNdK65jPSN5snVyYgSCujteNhBbILMz4uXLX78PyMC42GwEvNra751HXVbl3zGWKpeErFAoK0YmC7J0CAAIG0BQRp2v01OwIECBCoWECQVgxs9wQIECCQtoAgTbu/ZkeAAAECFQsI0oqB7Z4AAQIE0hYQpGn31+wIECBAoGIBQVoxsN0TIECAQNoCgjTt/podAQIECFQsIEgrBrZ7AgQIEEhbQJCm3V+zI0CAAIGKBQRpxcB2T4AAAQJpCwjStPtrdgQIECBQsYAgrRjY7gkQIEAgbQFBmnZ/zY4AAQIEKhYQpBUD2z0BAgQIpC0gSNPur9kRIECAQMUCgrRiYLsnQIAAgbQFBGna/TU7AgQIEKhYQJBWDGz3BAgQIJC2gCBNu79mR4AAAQIVCwjSioHtngABAgTSFhCkaffX7AgQIECgYgFBWjGw3RMgQIBA2gKCNO3+mh0BAgQIVCwgSCsGtnsCBAgQSFtAkKbdX7MjQIAAgYoFBGnFwHZPgAABAmkLCNK0+2t2BAgQIFCxgCCtGNjuCRAgQCBtAUGadn/NjgABAgQqFhCkFQPbPQECBAikLSBI0+6v2REgQIBAxQKCtGJguydAgACBtAXGDtKbN2+G/fv3h0uXLvWEXn311XDs2LF7tKampsLa2lraimZHgAABAp0VGCtIr1y5EhYXF8OFCxd6YbrVY6sgfenctfDJjVvh6zt3w/07d4RH5mfCqecf7Wwzhp04t2Gl0n6edZB2f80uHoGRgzQ/Ej1w4MC2IZoxbBakR89dCx9+9lUoHqxOTYXw2K7Z8Low3XQFcYvnm6vKSq2DKnXtm8BoAiMHaXY0evLkybCyshLm5ua2HW2zIH1mabV3JNr/yI5M31nau+1+u/oEbl3t/MZ5WwfWAYH2CIwcpFmA/vrXvw5/+tOfwtWrV9dncvny5bCwsLD+9xMnToSlpaX1v2d/Pn78+Prfn3r5/U0V3nvtifYItawSbi1rSEPlWAcNwRuWwACBsYL0/PnzG45Ir1+/Hvbt2xfOnDmzIUy3OrXrN+rx1iO38dxS28o6SK2j5hOzwFhBurq6GpaXl8P09PT63LPTvdmj/8rdzU7tZhdKfDTgNdLHd8264GiLFcUt5m+38mq3DsqztCcCkwqMHKSbvUY6apBmhWcXTHxcuGr34fkZFxoN0VFuQyB14CnWQQeabIpRCIwcpLdv3w5HjhwJDz300PrRZxauhw4dChcvXgy7d+/eMHHvI41iHSiSAAECBMYUGDlIs3HyMD179mxv2D179gwM0exrgnTMztiMAAECBKIQGCtIR5mZIB1Fy3MJECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgQCA2AUEaW8fUS4AAAQKtEhCkrWqHYggQIEAgNgFBGlvH1EuAAAECrRIQpK1qh2IIECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgQCA2AUEaW8fUS4AAAQKtEhCkrWqHYggQIEAgNgFBGlvH1EuAAAECrRIQpK1qh2IIECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgQCA2AUEaW8fUS4AAAQKtEhCkrWqHYggQIEAgNgFBGlvH1EuAAAECrRIQpK1qh2IIECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgQCA2AUEaW8fUS4AAAQKtEhCkrWqHYggQIEAgNgFBGlvH1EuAAAECrRIQpK1qh2IIECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgQCA2AUEaW8fUS4AAAQKtEhCkrWqHYggQIEAgNgFBGlvH1EuAAAECrRIQpK1qh2IIECBAIDYBQRpbx9RLgAABAq0SEKStaodiCBAgMJrAS+euhU9u3Apf37kb7t+5IzwyPxNOPf/oaDvx7IkEBOlEfDYmQIBAcwJHz10LH372VVhb+3sNU1MhPLZrNrwuTGtrjCCtjdpABAgQKFfgmaXV3pFo/yM7Mn1naW+5g9nbpgKC1OIgQIBApAJPvfz+ppW/99oTkc4qvrIFaXw9UzEBAgR6Ao5I27EQBGk7+qAKAgQIjCyQXWj00YDXSB/fNeuCo5E1x99AkI5vZ0sCBAg0LpBdcPRx4ardh+dnXGhUc1cEac3ghiNAgACBtAQEaVr9NBsCBAgQqFlAkNYMbjgCBAgQSEtAkKbVT7MhQIAAgZoFBGnN4IYjQIAAgbQEBGla/TQbAgQIEKhZQJDWDG44AgQIEEhLQJCm1U+zIUCAAIGaBQRpzeCGI0CAAIG0BARpWv00GwIECBCoWUCQ1gxuOAIECBBIS0CQptVPsyFAgACBmgUEac3ghiNAgACBtAQEaVr9NBsCBAgQqFlAkNYMbjgCBAgQSEtAkKbVT7MhQIAAgZoFBGnN4IYjQIAAgbQEBGla/TQbAgQIEKhZQJDWDG44AgQIEEhLQJCm1U+zIUCAAIGaBQRpzeCGI0CAAIG0BARpWv00GwIECBCoWUCQ1gxuOAIECBBIS0CQptVPsyFAgACBmgUEac3ghiNAgACBtAQEaVr9NBsCBAgQqFlAkNYMbjgCBAgQSEtAkKbVT7MhQIAAgZoFBGnN4IYjQIAAgbQEBGla/TQbAgQIEKhZQJDWDG44AgQIEEhLQJCm1U+zIUCAAIGaBQRpzeCGI0CAAIG0BARpWv00GwIECBCoWWDiIF1ZWQnPPfdcuHz5clhYWLin/KmpqbC2tlbztAxHgAABAgTqEZgoSK9cuRIWFxd7lQrSehpmFAK5wEvnroVPbtwKX9+5G+7fuSM8Mj8TTj3/aOlAdY1TeuF2SKAmgbGDNAvRQ4cOhTNnzoSTJ0+GY8eOOSKtqWmGIXD03LXw4WdfheLJnqmpEB7bNRteLzFM6xpHRwnELDBWkF6/fj0cPnw4nD59Ojz44INh79gjTmVaD26ASeWVrtHYn2P7Ij03eW9pY2n7rGKa1gOyLQgMDIQXrz5s0Nwdn/93wOJ06cCEtLS+tTyv58/PjxBqZoSALpCTz18vubTuq9154obcJ1jVNawXZEoAGBkYJ0UGhuFqT5XFxs1EBXDZm8QF1HinWNk3zDTDBpgbGC9NKlSwNRDh48GJaXl8P09PT61wVp0uvH5BoSyC4A+mjAa6SP75ot9YKjusZpiNGwBEoRGClIB43oiLSUPtgJgZEFsguBPi5ctfvw/EypFxrlBdU1zsgANiDQEgFB2pJGKIMAAQIE4g2jdXwAAAtdSURBVBQQpHH2TdUECBAg0BKBiYN0u3l4jXQ7IV8nQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LiAIG28BQogQIAAgZgFBGnM3VM7AQIECDQuIEgbb4ECCBAgQCBmAUEac/fUToAAAQKNCwjSxlugAAIECBCIWUCQxtw9tRMgQIBA4wKCtPEWKIAAAQIEYhYQpDF3T+0ECBAg0LjAyEF6+/btcOTIkXD27Nn14g8ePBiWl5fD9PT0PROampoKa2trjU9UAQQIECBAoAqBkYP0+vXr4a233gonTpzoBWcerFlxg8JUkFbRtrT2+dK5a+GTG7fC13fuhvt37giPzM+EU88/mtYkzYYAgWQFRg7SQRJXrlwJJ0+eDCsrK2Fubm7DUwRpsmunlIkdPXctfPjZV6F40mJqKoTHds2G14VpKcZ2QoBAtQKlBGkWoOfPnxek1fYqyb0/s7TaOxLtf2RHpu8s7U1yziZFgEBaAhMH6c2bN8P+/fvDwsJCOHbs2LpOdup3aWlp/e/Zn48fP56WntlMLPDUy+9vuo/3Xnti4v3bAQECBKoWmChIt3t9NCveqd2qWxj3/h2Rxt0/1RMgEMLYQTpMiApSS2w7gexCo48GvEb6+K5ZFxxth+frBAi0QmCsIM1P587Pz2/6tpd8do5IW9HnVheRXXD0ceGq3YfnZ1xo1OqOKY4AgaLAyEG62Wuim7EKUguOAAECBFIWGDlIs7e6LC4uDjS5cOFC78KjDUntAxlSXj/mRoAAgc4LjByko4o5Ih1VzPMJECBAICYBQRpTt/pq/elPfxp++9vfRjwDpZchYB2UoRj/PqyD5npYS5D+4Q9/aG6GCY/8ox/9KLBNuMFDTs06GBIq8adZB9U2+IcOGmA1QepNlrptnn83qUL/DHP/4xbNXc8ke0xzYKWAdt7Er9NVkH1ZkfTTW36gUOVBWt3U7Nnrz9ZAJmAdWAfWQbNrQJA26z/R6O+++27IflPy6LaAddDt/ueztw6aWweCtDl7IxMgQIBAAgKCNIEmmgIBAgQINCcgSJuzNzIBAgQIJCAgSFvcxPzGAGfPnl2v8uDBgxs+33jQc/InX758uXd7O4+4BQb1eM+ePeHixYth9+7d65PLP77z0qVLvX/rXytxK6h+mHXg50Ez60SQNuM+1KjZ24beeuutkN3bdXp6Ogy6407+b3v37r3n4xmHGsSTWi+QBeSbb74ZXnzxxd46yB4rKyvh/Pnzvf/Pzc2tr43iOjh58mT44osvtr2xROsBFNgTGHcd4KteQJBWb1zqCNlnHWc/ILf6AVrqgHbWSoHsl6zDhw+H06dP945K+9dFVnT/c1o5EUVNJNDfY79YT8Q59saCdGy6ZjYc5kikmcqMWqdA9stU9jh27Nj6Eerq6uqGo8/8VG/2HKf46+xOfWP1rwNBWp99cSRB2oz7WKMOuoXdMK+bjDWYjVonUHwNtP/17+wXrP4g9UO1dS0spaCt1oGfB6UQj7wTQToyWTMbDHp9dLNKsh+qb7zxxj0XozRTuVGrEMiORLLTufkpfkFahXL799m/DgZV7OdB9X0UpNUbTzzCKCGaDZb/xnrgwAEXIE2s384d9J+2HRSkTu22s3dlVjVMj/08KFN88L4EafXGE42QfxPMz88PffXlMN9cExVl48YF+nvsYqPGW9JIAcN8rw/znEaKT2hQQdriZg56TbS/3Oyqvd/97nfhyJEj618a5nRPi6ettD6BLCRv3Lix4exC/1tbBr0e6u0vaS2lYdaBnwfN9FyQNuM+1KjZN87i4uLA5164cKH3g7X/TfjZk70RfyjeaJ40bI99IEM0LR2r0GHWwTDPGWtwG20pIEgtEAIECBAgMIGAIJ0Az6YECBAgQECQWgMECBAgQGACAUE6AZ5NCRAgQICAILUGCBAgQIDABAKCdAI8mxIgQIAAAUFqDRAgQIAAgQkEBOkEeDYlkIKAT75JoYvm0KSAIG1S39idEcg+cWbfvn3hzJkzjd7SzGfydmbJmWiNAoK0RmxDdVdAkHa392aevoAgTb/HZtgCgWGCNH/O1atXexW/+uqr6zfuzj+UPrtJ96FDh0L+nP77kg76iLgnn3yyd7u1Tz/99J6PnMw+avLHP/5x7+Mmf/7zn4ff/OY34ezZs/eM3wJCJRBorYAgbW1rFJaSwHZBmn398OHD4fTp02H37t0h/xD6hx56qBem+ecuFz9HOQvH8+fPr9+TdNDtsvrvCrPVqd0vv/xy/R6229WbUm/MhcCkAoJ0UkHbExhCYLtgyu7U8r3vfW/DHV6KIZgdTWbPyW/knQ3ZH76DQnKUIM0Ce2FhoTebQXeTGWKankKgkwKCtJNtN+m6BbYK0jy08lOqxdqKp2W3C9Ls69kjC8T8IUjr7rTxuiggSLvYdXOuXWCYIN27d++GI9JikcPcuHu7o9q5ubneEe3q6uqGm8QPevuLI9Lal4gBIxYQpBE3T+nxCAxzarf/aHKcIN3uiDQL5Ox11eXl5TA9Pd0bQpDGs45U2k4BQdrOvqgqMYHtgjS/mCi/YXsecG+++WZ48cUXwwcffLDta6TZPrIrei9evLjhgqUbN26sv7ba/xxBmthCM51GBARpI+wG7ZpA/1tbivPP38Iy6Dl5sA5zajfbZx7I2Z/37NkTXnjhhfD2229vuEgpOwX8yiuv9Eoovv3FxUZdW5XmW5aAIC1L0n4ItFBg0KncFpapJAJRCwjSqNuneAJ/F8he68xPBWevf7pgyOogUI+AIK3H2SgEKhcY9KlGxddcKy/AAAQ6KiBIO9p40yZAgACBcgQEaTmO9kKAAAECHRUQpB1tvGkTIECAQDkCgrQcR3shQIAAgY4K/H+kmfGJ/dv1BQAAAABJRU5ErkJggg==]]
    Graph of the Residuals vs. X-Values
    [[image:data:image/png;base64,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]]
    My data shows a very weak association, as expected, and a positive correlation. I believe that the reason the association was so weak is because of the variety of shoes that I used for my data. There were many types, sneakers, heels, flats, boots, all of which a structured differently, causing various outliers in my data.
    I then tried to straighten my data:
    [[image:data:image/png;base64,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 width="213" height="197"]]
    Simple linear regression results:
    Dependent Variable: Reciprocal (Height)
    Independent Variable: Length
    Reciprocal (Height) = 0.22559957 - 0.0025473091 Length
    Sample size: 29
    R (correlation coefficient) = -0.12129473
    R-sq = 0.014712412
    Estimate of error standard deviation: 0.079296731
    Parameter estimates:
    Parameter
    Estimate
    Std. Err.
    Alternative
    DF
    T-Stat
    P-value
    Intercept
    0.22559957
    0.12083952
    ≠ 0
    27
    1.8669353
    0.0728
    Slope
    -0.0025473091
    0.0040118005
    ≠ 0
    27
    -0.63495408
    0.5308
    Analysis of variance table for regression model:
    Source
    DF
    SS
    MS
    F-stat
    P-value
    Model
    1
    0.0025351007
    0.0025351007
    0.40316669
    0.5308
    Error
    27
    0.16977523
    0.0062879716
    Total
    28
    0.17231033
    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AjK3jqqHAAECBJIICMgkjCYhQIAAgdwEBGRuHVUPAQIECCQREJBJGE1CgAABArkJCMjcOqoeAgQIEEgiICCTMJqEAAECBHITEJC5dVQ9BAgQIJBEQEAmYTQJAQIECOQmICBz66h6CBAgQCCJgIBMwmgSAgQIEMhNQEDm1lH1ECBAgEASAQGZhNEkBAgQIJCbgIDMraPqIUCAAIEkAgIyCaNJCBAgQCA3AQGZW0fVQ4AAAQJJBARkEkaTECBAgEBuAgIyt46qhwABAgSSCAjIJIwmIUCAAIHcBARkbh1VDwECBAgkERCQSRhNQoAAAQK5CQjI3DqqHgIECBBIIiAgkzCahAABAgRyExCQuXVUPQQIECCQREBAJmE0CQECBAjkJnAkIO/cuRNOnToVrl+/Pqr19OnTYWdnJ6yurk6t/e7du+HMmTPh8uXLB2NmPW5lZSXs7+/nZqkeAgQIEMhI4FBAVkG3ubk5Csn4d/HixXD79u2ZIXnz5s3w+uuvhwsXLoyCtJonPr4uXAVkRnuQUggQIJCpwKGAvHHjxigQr169GtbW1kYlx/Db2toKu7u7YX19fWGGurmqBwvIhRkNJECAAIGOBA4FZAzGvb29Q0d91SnXc+fOhY2NjYWXGee6cuXKobAVkAvzGUiAAAECHQvMDci6067z1lyFagzUGKzVXzwFu729ffD/4z+fP39+3nT+OwECBAgQaF0geUDOu/4YK3SKtfU+2yABAgQINBSYG5BNTrEuEo4CsmGHDCdAgACBTgSS3aRTBemJEyfmfizEEWQnvbZRAgQIEGgg0PhjHnVHidOuOU5bh4Bs0CFDCRAgQKATgcZfFFAXkPEjHY8nhtAW+++ebBZyqrAQKyk17bKAECBAg0EPBVcw2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VikBAgQINBAQkA2wDCVAgACBcgQEZDm9VimBhQS+9cb74Xe3/hL+9vd/hI/cf1/41IkHwivPPrrQYw0ikJOAgMypm2ohcI8CL7zxfvj17/8c9vf/OdHKSgiffuTB8KqQvEddDx+awJGAvHPnTjh16lS4fv36qJbTp0+HnZ2dsLq6ulBtV69eDXt7ezMfs7KyEvbHn4ELzWwQAQLLPrr7yvbe6Mhx8i8eSf5oe1MDCBQlcCgg7969G86cORM2NzdHIRn/Ll68GG7fvj03JOO4l156aaFQFZBF7WOKTSTQxtHdl178+dTV/vTbX0hUiWkIDEPgUEDeuHFjFIjxKHBtbW1Uwc2bN8PW1lbY3d0N6+vrc6tyBDmXyAACxxJo4+iujW0cq3gPItCBwKGArAu36pTruXPnwsbGxtwlCsi5RAYQOJZAG0d38RTub2quQT72yINu1DlW1zxoyAJzA7LutOusgmcF5IULF8L29vbBw+M/nz9/fsh+1k6gNYG2ju7iqdzfjt3F+skTD7hBp7Uu21CfBFoNyKpw1yD7tAtYy1AEHN0NpVPWmYvA3IB0ijWXVqsjBwFHdzl0UQ1DEXCTzlA6ZZ0ECBAg0KpA4495VNck4yrrPh/pJp1W+2djBAgQILAkgcZfFDAtIMc/B1mtddqXDLgGuaRumpYAAQIEkgn4qrlklCYiQIAAgZwEBGRO3VQLAQIECCQTEJDJKE1EgAABAjkJCMicuqkWAgQIEEgmICCTUZqIAAECBHISEJA5dVMtBAgQIJBMQEAmozQRAQIECOQkICBz6qZaCBAgQCCZgIBMRmkiAgQIEMhJQEDm1E21ECBAgEAyAQGZjNJEBAgQIJCTgIDMqZtqIUCAAIFkAgIyGaWJCBAgQCAnAQGZUzfVQoAAAQLJBARkMkoTESBAgEBOAgIyp26qhQABAgSSCQjIZJQmIkCAAIGcBARkTt1UCwECBAgkExCQyShNRIAAAQI5CQjInLqpFgIECBBIJiAgk1GaiAABAukFvvXG++F3t/4S/vb3f4SP3H9f+NSJB8Irzz6afkNmPCIgIO0UBAgQ6KnAC2+8H379+z+H/f1/LnBlJYRPP/JgeFVILr1rAnLpxDZAgACB4wl8ZXtvdOQ4+RePJH+0vXm8ST1qYQEBuTCVgQQIEGhX4Esv/nzqBn/67S+0u5gCtyYgC2y6kgkQGIaAI8hu+yQgu/W3dQIECEwViDfo/KbmGuRjjzzoRp0W9hsB2QKyTRAgQOC4AvFGnd+O3cX6yRMPuEHnuJgNHycgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsSgIECBBoKCAgG4IZToAAAQJlCAjIMvqsykwEvvXG++F3t/4S/vb3f4SP3H9f+NSJB8Irzz6aSXXKINAvAQHZr35YDYGpAi+88X749eHPb3/zlkZSWETz/yYHhVSNpzCCQXEJDJSU1IYDkCX9neGx05Tv7FI8kfbW8uZ6NmJVCwgIAsuPlKH5bAl178+dQFTbXxhWMVZLYAACAnIATbJEAlHAEaT9gEC7AgKyXW9bI3BsgXiDzm9qrkE+9siDbtQ5tqoHEpguICDtHQQGJBBv1Pnt2F2snzzxgBt0BtQ/Sx2WgIAcVr+slgABAgRaEhCQLUHbDAECBAgMS0BADqtfVkuAAAECLQkIyJagl7EZ36qyDFVzElhcwHNwcashjhSQQ+xaCMG3qgy0cZadjYDnYDatnFpIsoC8c+dOOHXqVLh+/fpoY6dPnw47OzthdXX1yMZXVlbC/vj3ZeXvnLxCn4lLTmrCzAT+45X/Cv99938Oqvq31X8NnCvyer0nMwGWVvJ0oSkHfv3g1nzpwJm5ubo5CMfxcvXgy3b9+uDUkBee/7g29VuXdDM+QrMBmOVaUpQ9JzMN/9p6osSUDeuHFjFIhXr14Na2tro7lv3rwZtra2wu7ublhfXz8kKSDvfcfy7vXeDc3QncCyr921EV6eg93tP21tOUlAxmDc29s7dLRYnXI9d+5c2NjYEJCJO+pbVRKDmq41gTau3bURkJ6Dre0ynW1oaQFZd9r1woULYXt7+6DY+M/nz58/VPyy31l2Jr2EDftWlSWgmnLpAm0cebURkBHKc3Dpu0unG2g1IA/O6065SaeNd5adats4AQKhjfBq4xqkVuYvsLSAPM4p1jbeWebfUhXmLJDDGZa2nufLvos15/1Mbf8rkCQgU92k08Y7S40nMFSBXM6wuHY31D2wvHUnCchUH/No651leW1WcQ4COT0/XLvLYY/Mv4YkARmZUnxRgHeW+e9wKjy+gDMsx7fzSALHEUgWkE02PutzkN5ZNpE0tiSBnI4gS+qbWocr0LuAHC6llRNYroAzLMv1NTuBSQEBaZ/oXCCHOzPbQnSGpS1p2yGQ6C7WppC+aq6pWL7jc7kzM98OqYxAuQKOIMvtfS8qd12tF22wCAIEagQEpN2iUwF3ZnbKb+MECMwQEJB2j04FHEF2yt/Zxl137ozehhsICMgGWIamF3BnZnrTvs/ounPfO7Sc9Q3xTZGAXM6+YNYGAu7MbIDVwtBlv5A5a9BCE3u2iaG+KRKQPduRLIdAlwJtvJC57txlh7vZ9lDfFAnIbvYXWyXQS4E2Xsja2EYvcQte1FDfFAnIgndapROYFGjjhcx15/L2u6G+KRKQ5e2rKiYwVaCtFzLXncvaCYf6pkhAlrWfqpbATIGhvpBpa/8FhvimSED2f7+ywgQCy74zM8ESezPFEF/IeoNnIZ0LpHyuC8jO22kByxZo487MZddgfgIE5gukfq4LyPnmRgxcoK3ragNnsnwCgxdI/VwXkIPfJRQwT6CNOzPnrcF/J0Bg+QKpn+sCcvk9G/QW/uOV/wr/ffd/Dmr4t9V/Df/5wr8PqqbU7yoHVbzFEihIIPVzXUAWtPM0LXUyHKvHDy0k3ZnZtPPGEximQOrnuoAc5n7QyqpTn65oZdFTNuLOzC71bZtAewIpn+sCsr2+DW5LOQXk4PAtmACBzgUEZOct6O8CBGR/e2Nl/RBI+Zm7flRkFeMCAtL+MFUgl2uQbbX4qfN74e7x8Hm7v/X+4Lb1/YbGvzttOyQOrP3LW8fJtbQEBALoBU8pAc7mJto3+T4VhtU0i2od/NNlLfMdlNFbY6S0BA2j+KEFj2qTCno4vYjQ4Vqef591xA5t/j4its41SYF8vydjNHkPn3XEDm3+PiK2zjhUxAlrebpf7MXXmC/a9YQPa/R1Z4jwJthFdO1yCXfTr6HtvZq4en/MxdrwqzmJGAgLQjZC/QxhFkfKF89++YjlYnwfDqs48OxriN09GDwbDQ4gUEZPG7QP4AbZwKayOE2+hULnW0YWUb+QsIyPx7rMIQwrJPhbVxGreNRuZSRxtWtpG/gIDMv8cqbEEglyOvXOpooeU2UYCAgCygyUpcvkAbp3GXX0UIudTRhpVt5C8gIPPvsQpbElj2adyWylj66ei26rAdAvcqICDvVdDjCRAgQCBLAQGZZVsVRYAAAQL3KiAg71XQ4wkQIEAgSwEBmWVb0xXlW1XSWZqJAIFhCQjIYfWr1dX6VpVWuW2MAIGeCQjInjWkT8vxmbg+dcNaCBBoW0BAti0+oO35VpUBNctSCRBILiAgk5PmM6EjyHx6qRICBJoLCMjmZnx6xacAAAb3SURBVMU8wreqFNNqhRIgUCMgIO0WMwVy+XYYbSZAgEBTAQHZVMx4AgQIEChCQEAW0WZFEiBAgEBTAQHZVKxH432Iv0fNsBQCBLITEJADbakP8Q+0cZZNgMBgBATkYFp1eKE+gjHQxlk2AQKDERCQg2nV4YX6EP9AG2fZBAgMRkBADqZVjiAH2irLJkBgoAICcqCN8yH+gTbOsgkQGIyAgBxMq44u1If4B9w8SydAoPcCArL3LbJAAgQIEOhCQEB2oW6bBAgQINB7AQHZ+xZZIAECBAh0ISAgu1BPvM0vf/nL4ccnHiWU3XZwE973N3lrM2PV+O66xZOwvIX/7yl+1Xm+kWP/e5zwWemTZ3Sll6Xla/Y7V6vpyef/azn506cScBeerUqXDz5s3lVFvgrL/61a/CrCYXSJJ9yXqefYuPFKjn6Xv+1FNPhfPnz/crINOXWfaMKysrYX9/v2yEwqrX88IaHkLQ8/Z73skRZPtl5r3Ft99+O8R3Qv7KEdDzcnpdVarn7fdcQLZvbosECBAgMAABATmAJlkiAQIECLQvICDbN7dFAgQIEBiAgIAcQJPu3r0bzpw5Ey5fvnyw2tOnT4ednZ2wuro6+nd1Y6rB77zzTtjY2BhApZZYCdT18+TJk+HatWthfX39AOrOnTsh3hV+/fr10b+b3C+IDkdgkZ57nrfbTwHZrvexthY/EvP666+HCxcujAKxepLEyaqQrP7d5ubm6AXT37AFYvBdunQpnD179uBN0NWrV8OVK1dC/N+1tbWD/WC85xcvXgy3b98+9OZp2BLlrP64PS9HqP1KBWT75km2eOPGjRBfDGe9WCbZkEl6IxDfKG1tbYXd3d3RUeTkPhAXOjmmN4u3kGMJTPbTG+FjMR77QQLy2HTdPnCRo4luV2jrqQXiG6L4d+7cudH/xn1gb2/v0NFidco1jnFaPXUH2p9vsucCst0eCMh2vZNsrXoRjC+A1YvlItcvkmzcJK0KjF9jnLyWXBeQXkBbbc9SNjar557nSyGfOqmAbNf7nrdWd/1x2qTxBfQ73/nOkRs77nkRJuhEIB5NxNOq1Wl1AdlJG1rd6GTP6zbueb68lgjI5dkmn7lJOMaNV+9En3nmGTfuJO9G+xNOnj51irX9HrS9xUVOmXueL68rAnJ5tklnrp4EJ06cWPgOxUWeXEkXabKlCkz20006S+XuxeSLPIcXGdOLYga4CAE5gKbVXXOcXHa82+0nP/nJ6POS1d8ip2cGUH6RS4zhd+vWrUNH/pMf4ai73uhjHsPdXRbpued5u/0VkO16H2tr8Ynz+OOP1z72zTffHL2ITn5gPA72ofFjcffiQYv20xcF9KJdSRaxSM8XGZNkMSYZCQhIOwIBAgQIEKgREJB2CwIECBAgICDtAwQIECBAYDEBR5CLORlFgAABAoUJCMjCGq5cAgQIEFhMQEAu5mQUAQIECBQmICALa7hyCRAgQGAxAQG5mJNRBLIT8A0s2bVUQYkFBGRiUNMRGBeI33zy9NNPh9dee63Tn5/yva32SwLNBQRkczOPILCwgIBcmMpAAr0TEJC9a4kF5SSwSEBWY957771R6S+PLB73xWX0gef/fz+eefD9WYyd+GrPsKsieeeGL001gffPDBka8qjF9R+OSTT46+pvCb3/xm+MEPfhAuX758ZPs59UItBJoKCMimYsYTaCAwLyDjf9/a2gq7u7thfX09VF9A/tBDD41Csvoe3vHv1Y2hd+XKlYPfhaz7uaPJX/qYdYr1ww8/PPjN0HnrbVC6oQQGLyAgB99CBfRZYF7gxF/fePjhhw/9asd4uMWjvzim+pHkWOtkqNaFX5OAjEG8sbExYqz7hZA++1obgWUKCMhl6pq7eIFZAVmFUXVqcxxr/PTovICM/z3+xaCr/gRk8bsegAQCAjIBoikITBNYJCA3NzcPHUGOz7XIjyLPOwpdW1sbHYHu7e0d+rHtuo95OIK0LxP4p4CAtDcQWKLAIqdYJ4/+jhOQ844gY9DG65Y7OzthdXV1tAkBucTGmzoLAQGZRRsV0VeBeQFZ3YRT/fB1FVyXLl0KZ8+eDe++++7ca5BxjniH67Vr1w7d6HPr1q2Da5eTYwRkX/cY6+qTgIDsUzesJTuByY9wjBdYfVSjbkwVmIucYo1zVkEbnkyZPhueeeC2+99dahm3viqdiXXnpptITxj3m4SSe73U5BiQQEZCJI0xDok0DdKdU+rc9aCAxBQEAOoUvWSGCGQLyWWJ2SjdcX3WhjdyGQRkBApnE0C4HOBOq+RWf8mmZnC7NhAgMXEJADb6DlEyBAgMByBATkclzNSoAAAQIDFxCQA2+g5RMgQIDAcgQE5HJczUqAAAECAxf4/1eW6NcJ1+xeAAAAAElFTkSuQmCC width="362" height="334"]]
    I chose to use the Reciprocal (Height) because it had the lowest residual as seen in my graphs above.
    {https://lh6.googleusercontent.com/9w6GWqhfAEKpwbjN5Uqbo2I9thUt_S4nnF4sRXJiAwlIJtF1VJwcDIIdt33BIVI5GrwP_hbor0lWpjD02gQYiDZC3Y3WWLSZ6Ie9tKNa7WOw4otzt9k6GhDOFz7CiDHNH9R4P9D0} {https://lh5.googleusercontent.com/TMZgDKg8TnaaUWNOmpcE3V4Z96wqdimCD-yVOYhqg4bxQ184Bb2ZBew92nzlQKeQ_32C7IM0SLKwbzFCeKaj8zpK82FMIAWgulvAfDo5dq44LWFyAZrTOI2lmwBCHKxuoPaeGC0l} {https://lh3.googleusercontent.com/egTJxarUOcNUQd97pJwGlmgjQNDQDjMzorBvy2f2zN4rksFCfB6YKC7E6_OqtceK39MDFWL489tGJWkdDxnR9XaLYLqNGrvFh_szrEXi5lvGdAlsemoM6elEqt8LE09k-8RpxEI6}
    {https://lh4.googleusercontent.com/5PvQ1RoAsojLMkU6I57dSfqSs-nYmu4aumCA5F3q3H2MQz_Lx7OftgftjIZEToWVpNXYcosBRekyXvopccaVuMdhwskTC4o7EcNmocc-xRDJrKEsJnPtvFPHLWjtM_OtFMeU70ko} {https://lh3.googleusercontent.com/qKIh5L6YUiRxDstLwTj6UMG-Qg_Qi5kmb8G0mYXxMeuAasX_-xiSSMp77K_hNK88zAFfb9nZRsgqycVN_XlNdGweahM2n1d7hXHQsmCGC0Dsg7olQp1xxqF3ALk2o6IbFC4feyUu} {https://lh6.googleusercontent.com/mto7ZqQOX0QbXrV4j6poiVV0jzOYxGJfdeVROal7b9CKvrfGWhtYoyoCFj3VPHSbL2zry4fK6dKF7XphUfwcDNAgnzVdrKIJUsWgPDb8rXkW0JF86sgJytc4C-c66HSDGNniBf-s}

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