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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="author" content="Oluwadare, Margaret" />
<title>REGRESSION MODEL COURSE PROJECT</title>
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) 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g5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1+x1SXwLpFi53b+aHRYo/IrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f+nAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g/VRdpkkyVpD7jnmax88QwDvg/66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb+YFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb/d5gqmNaqJZSO1l6PVRy0nZIj/45EetjLguh1rLqR+SK0hO6NrsqcNX8zoUdjQYDJ7tb4os6+i+Y0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY/gZmE9iuP4V5v7CSR/RThaHLh+UeBkXwU6BC7lGOevK65udTv+tS/PfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso/c/1K9aLE12fMWLV1y1D9ua8lyJdWXr/bG+noCFutf/mLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq+PEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj+nzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3++fcnT49Qe+kBs+wdsMZgPXMp3U5S958snPP/EE7bvkOPCuTUDTUQ/UzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk/seDVWsvDWXXXsyn/4wfpXc2V3/Qxli3jl/5hj/83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3/+2TJrzLlkFz+ip3qCHKf6eqW02QJLjBYuuj4sobhCWqa/YHGEHpcnumuWSOhxeaL7sOakNR6vvmo+YcfFA8UFXEPZf9UjyudIOyNwx/i90DdsujS/FX2UAwvWSVK4NxaMhAGw3oowp/uc8CTi7D2rBgZWwb/60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E+o2t1nePTn8TUmxz/A3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD+qJopELrl4S6cJNRtEAsLP/OdvnJq0Wo0GolY2Et9VFB2Kf+4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam+bWmUJZfNn5ozKV5Pmmq8PF/jVY+2Tlk2M2RzSXKjmbQ4RZcQavEYrN/9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd+SyX/Cyf0Vxjd2R9NmsunnXYa8xGHzn+sSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV+D5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H/lpZBicglCPN7WOfJkcHqc3ElWqvvz/1E6bIQrG+tz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw+WSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM+wEW0El9dM/ueVRWIsXwe43R7SgbVZqrnqoJ1X/kuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM+foaCcwgaoqZUtmodV3p+X7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z+O4fYIbvZVt4EUcJEKOhHeincWqONw+q6w5Go+WGOSR7LhKV+KBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx+SyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq/qlFo1v+PTmTi3E/glC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO+YOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr+H1jR7km9vcvqN9657vffefkv+fKxge1X+7RdjYUPIESN7gTvRkB/RMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F+UX4+WKS4iBTP0IWxGtZgOdMaV4KTayqHQF/VihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g/qRCuy3vmQ3W9Vu8qbVbP+SzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB+LopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR/ut5Ug2jXAaT96+9RH/FToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye/78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard/nGAVN8alecnFdgu5Gbd5DJTL+hHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf+9Gp+VnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687+P3cx6tcAeNpjYGRgYGBk8s0/zBIfz2/zlUGeZQNQhOFCWfF0GP0/8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV+d8KJgP/XWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF++2W/nZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA+wT8L5nOdMaV0AuMJ+icRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn/AtWZyj3W0HjEXitOc/dIdbetPdFTZ+P6t+X7xU0/k6GJtOe1/B3arN0/pmz1J4UZc+D6ExwjD7vioeGd5HvhvU+R+DZcGZ6YBPNfAi0G97iBPwFXqph2cW8+D7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb/GOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY+5hPsLCwWLEksSyiOUOawzrLrYiti/sCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k/klqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R/aZnJ5cmdwB+ST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R/6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S/6Gnopekt0ruhz6fvpl+nv0n/h4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ/LA1sn1jZ2XXY3fFXsM+z36V/S8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l/8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf/d6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU/hM9jYWPgIFkYfwd6nsDD+d1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui+ncOr7D02y6/BTCrP/m+b5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU/exhxztMozlosTpMH6ZPge0L+OKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo//G7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq/ZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr/PW70/HO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8/3JOUnqAyR1d/cCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs/NdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxG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<h1 class="title toc-ignore">REGRESSION MODEL COURSE PROJECT</h1>
<h4 class="author">Oluwadare, Margaret</h4>
<h4 class="date">7/15/2020</h4>
</div>
<div id="TOC">
<ul>
<li><a href="#executive-summary"><span class="toc-section-number">0.1</span> EXECUTIVE SUMMARY</a></li>
</ul>
</div>
<div id="executive-summary" class="section level2">
<h2><span class="header-section-number">0.1</span> EXECUTIVE SUMMARY</h2>
<p>This report is made towards the completion of Coursera the Regression Models course on the Data Science Specialization by Johns Hopkins University.</p>
<p>In this project we will explore some features that affect fuel consumption in miles per gallon (MPG) answering some questions about the nature of transmission (labelled as ‘am’).The dataset is of a collection of cars (mtcars - Motor Trend Car Road Tests), and we are interested in exploring the relationship between a set of variables. In particularly we want answer two major questions:</p>
<p>• Is an automatic or manual transmission better for MPG? • Quantifying how different is the MPG between automatic and manual transmissions?</p>
<p>We are going to estimate the relationship between type of transmission and other independant variables, such as weight (wt), 1/4 miles/time (qsec), along with miles per gallon (MPG), which will be our outcome.</p>
<p>Using simple linear regression model and multiple regression model we conclude that manual transmission cars when compared against automatic transmission cars adjusted by number of cylinders, gross horspower and weight gets a factor of 1.8 more miles per gallon. This implies it goes more further.</p>
<p>DATA DESCRIPTION The ‘mtcars’ data set was extracted from the 1974 Motor Trend US magazine, which comprises of 32 observations and 11 variables. We will use regression modelling and exploratory analysis to show how transmission (am) feature affect the miles per fallon (MPG) feature. The dataset “mtcars” is located in the package “dataset”. Below is a description of the variables</p>
<p>mpg: Miles per US gallon cyl: Number of cylinders disp: Displacement (cubic inches) hp: Gross horsepower drat: Rear axle ratio wt: Weight (lb / 1000) qsec: 1 / 4 mile time vs: V/S am: Transmission (0 = automatic, 1 = manual) gear: Number of forward gears carb: Number of carburetors</p>
<div id="exploratory-data-analysis-of-the-data" class="section level4">
<h4><span class="header-section-number">0.1.0.1</span> EXPLORATORY DATA ANALYSIS OF THE DATA</h4>
<p>We load in the data set, perform the necessary data transformations and look at the descriptive of the data.</p>
<pre class="r"><code>attach(mtcars)
View(mtcars)
str(mtcars)</code></pre>
<pre><code>## 'data.frame': 32 obs. of 11 variables:
## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
## $ disp: num 160 160 108 258 360 ...
## $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
## $ qsec: num 16.5 17 18.6 19.4 17 ...
## $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
## $ am : num 1 1 1 0 0 0 0 0 0 0 ...
## $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
## $ carb: num 4 4 1 1 2 1 4 2 2 4 ...</code></pre>
<pre class="r"><code>### CONVERT CATEGORICAL TO FACTORS
mtcars$cyl <- as.factor(mtcars$cyl)
mtcars$vs <- as.factor(mtcars$vs)
mtcars$am <- factor(mtcars$am, labels = c('Auto','Manual')) #### assign label values
mtcars$gear <- factor(mtcars$gear)
mtcars$carb <- factor(mtcars$carb)
str(mtcars)</code></pre>
<pre><code>## 'data.frame': 32 obs. of 11 variables:
## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ cyl : Factor w/ 3 levels "4","6","8": 2 2 1 2 3 2 3 1 1 2 ...
## $ disp: num 160 160 108 258 360 ...
## $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
## $ qsec: num 16.5 17 18.6 19.4 17 ...
## $ vs : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 1 2 2 2 ...
## $ am : Factor w/ 2 levels "Auto","Manual": 2 2 2 1 1 1 1 1 1 1 ...
## $ gear: Factor w/ 3 levels "3","4","5": 2 2 2 1 1 1 1 2 2 2 ...
## $ carb: Factor w/ 6 levels "1","2","3","4",..: 4 4 1 1 2 1 4 2 2 4 ...</code></pre>
<p>Now that we are all set, let’s explore the various relationships between variables of interest and others. As a star, we plot the relationships between all the variables of the dataset.</p>
<pre class="r"><code>#Scatter plot matrix for mtcars dataset
pairs(mpg ~ ., data = mtcars, main = "scatter plot of mtcars data", col = rainbow(11), labels = palette())</code></pre>
<p><img 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" width="672" /></p>
<p>From the plot, there is strong correlation between mpg and other varaibles. We will use regressional analysis investigate this relationship.</p>
<p>Our varaible of interest is transmission type(am) on mpg, therefore we will plot boxplots of the variable mpg on transmission (see appendix). This plot shows that mpg increases when the transmission is manual.</p>
<pre class="r"><code>#Boxplot of MPG vs. AM
boxplot(mpg ~ am, data = mtcars, col = (c("red","green")), xlab = "Transmission (0 = Auto, 1 = Manual)", ylab = "Miles per Gallon", main = "Boxplot of MPG vs. Transmission type" )</code></pre>
<p><img 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" width="672" /></p>
<p>REGRESSION ANALYSIS To investigate our varaible we will build linear regression models based on the variables and try to find out the best model fit and making comparrison with out main model using anova. Analysis of residuals and diagnosis will also be performed.</p>
<p>MODEL BUILDING AND SELECTION</p>
<p>Considering our pairs plot where several variables has high correlation with mpg, an initial model with all the variables as predictors will be performed first. Stepwise model selection to select significant predictors for the final model is carried out. This is taken care by the step method which runs linear model multiple times to build multiple regression models and select the best variables from them using both forward selection and backward elimination methods by the AIC algorithm. The code is given below.</p>
<pre class="r"><code>linmod <- lm(mpg ~ ., data = mtcars) #regressing mpg with other features
summary(linmod)</code></pre>
<pre><code>##
## Call:
## lm(formula = mpg ~ ., data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5087 -1.3584 -0.0948 0.7745 4.6251
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 23.87913 20.06582 1.190 0.2525
## cyl6 -2.64870 3.04089 -0.871 0.3975
## cyl8 -0.33616 7.15954 -0.047 0.9632
## disp 0.03555 0.03190 1.114 0.2827
## hp -0.07051 0.03943 -1.788 0.0939 .
## drat 1.18283 2.48348 0.476 0.6407
## wt -4.52978 2.53875 -1.784 0.0946 .
## qsec 0.36784 0.93540 0.393 0.6997
## vs1 1.93085 2.87126 0.672 0.5115
## amManual 1.21212 3.21355 0.377 0.7113
## gear4 1.11435 3.79952 0.293 0.7733
## gear5 2.52840 3.73636 0.677 0.5089
## carb2 -0.97935 2.31797 -0.423 0.6787
## carb3 2.99964 4.29355 0.699 0.4955
## carb4 1.09142 4.44962 0.245 0.8096
## carb6 4.47757 6.38406 0.701 0.4938
## carb8 7.25041 8.36057 0.867 0.3995
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.833 on 15 degrees of freedom
## Multiple R-squared: 0.8931, Adjusted R-squared: 0.779
## F-statistic: 7.83 on 16 and 15 DF, p-value: 0.000124</code></pre>
<pre class="r"><code>bestmod <- step(linmod, direction = "both") ##selecting the best model</code></pre>
<pre><code>## Start: AIC=76.4
## mpg ~ cyl + disp + hp + drat + wt + qsec + vs + am + gear + carb
##
## Df Sum of Sq RSS AIC
## - carb 5 13.5989 134.00 69.828
## - gear 2 3.9729 124.38 73.442
## - am 1 1.1420 121.55 74.705
## - qsec 1 1.2413 121.64 74.732
## - drat 1 1.8208 122.22 74.884
## - cyl 2 10.9314 131.33 75.184
## - vs 1 3.6299 124.03 75.354
## <none> 120.40 76.403
## - disp 1 9.9672 130.37 76.948
## - wt 1 25.5541 145.96 80.562
## - hp 1 25.6715 146.07 80.588
##
## Step: AIC=69.83
## mpg ~ cyl + disp + hp + drat + wt + qsec + vs + am + gear
##
## Df Sum of Sq RSS AIC
## - gear 2 5.0215 139.02 67.005
## - disp 1 0.9934 135.00 68.064
## - drat 1 1.1854 135.19 68.110
## - vs 1 3.6763 137.68 68.694
## - cyl 2 12.5642 146.57 68.696
## - qsec 1 5.2634 139.26 69.061
## <none> 134.00 69.828
## - am 1 11.9255 145.93 70.556
## - wt 1 19.7963 153.80 72.237
## - hp 1 22.7935 156.79 72.855
## + carb 5 13.5989 120.40 76.403
##
## Step: AIC=67
## mpg ~ cyl + disp + hp + drat + wt + qsec + vs + am
##
## Df Sum of Sq RSS AIC
## - drat 1 0.9672 139.99 65.227
## - cyl 2 10.4247 149.45 65.319
## - disp 1 1.5483 140.57 65.359
## - vs 1 2.1829 141.21 65.503
## - qsec 1 3.6324 142.66 65.830
## <none> 139.02 67.005
## - am 1 16.5665 155.59 68.608
## - hp 1 18.1768 157.20 68.937
## + gear 2 5.0215 134.00 69.828
## - wt 1 31.1896 170.21 71.482
## + carb 5 14.6475 124.38 73.442
##
## Step: AIC=65.23
## mpg ~ cyl + disp + hp + wt + qsec + vs + am
##
## Df Sum of Sq RSS AIC
## - disp 1 1.2474 141.24 63.511
## - vs 1 2.3403 142.33 63.757
## - cyl 2 12.3267 152.32 63.927
## - qsec 1 3.1000 143.09 63.928
## <none> 139.99 65.227
## + drat 1 0.9672 139.02 67.005
## - hp 1 17.7382 157.73 67.044
## - am 1 19.4660 159.46 67.393
## + gear 2 4.8033 135.19 68.110
## - wt 1 30.7151 170.71 69.574
## + carb 5 13.0509 126.94 72.095
##
## Step: AIC=63.51
## mpg ~ cyl + hp + wt + qsec + vs + am
##
## Df Sum of Sq RSS AIC
## - qsec 1 2.442 143.68 62.059
## - vs 1 2.744 143.98 62.126
## - cyl 2 18.580 159.82 63.466
## <none> 141.24 63.511
## + disp 1 1.247 139.99 65.227
## + drat 1 0.666 140.57 65.359
## - hp 1 18.184 159.42 65.386
## - am 1 18.885 160.12 65.527
## + gear 2 4.684 136.55 66.431
## - wt 1 39.645 180.88 69.428
## + carb 5 2.331 138.91 72.978
##
## Step: AIC=62.06
## mpg ~ cyl + hp + wt + vs + am
##
## Df Sum of Sq RSS AIC
## - vs 1 7.346 151.03 61.655
## <none> 143.68 62.059
## - cyl 2 25.284 168.96 63.246
## + qsec 1 2.442 141.24 63.511
## - am 1 16.443 160.12 63.527
## + disp 1 0.589 143.09 63.928
## + drat 1 0.330 143.35 63.986
## + gear 2 3.437 140.24 65.284
## - hp 1 36.344 180.02 67.275
## - wt 1 41.088 184.77 68.108
## + carb 5 3.480 140.20 71.275
##
## Step: AIC=61.65
## mpg ~ cyl + hp + wt + am
##
## Df Sum of Sq RSS AIC
## <none> 151.03 61.655
## - am 1 9.752 160.78 61.657
## + vs 1 7.346 143.68 62.059
## + qsec 1 7.044 143.98 62.126
## - cyl 2 29.265 180.29 63.323
## + disp 1 0.617 150.41 63.524
## + drat 1 0.220 150.81 63.608
## + gear 2 1.361 149.66 65.365
## - hp 1 31.943 182.97 65.794
## - wt 1 46.173 197.20 68.191
## + carb 5 5.633 145.39 70.438</code></pre>
<pre class="r"><code>bestmod</code></pre>
<pre><code>##
## Call:
## lm(formula = mpg ~ cyl + hp + wt + am, data = mtcars)
##
## Coefficients:
## (Intercept) cyl6 cyl8 hp wt amManual
## 33.70832 -3.03134 -2.16368 -0.03211 -2.49683 1.80921</code></pre>
<p>The best model obtained from the above computations consists of the variables, cyl(with respect to vehicles with 6 and 8 cylinders), wt and hp as confounders and am as the independent variable. Details of the model are in the summary(bestmod) code below. We observe that the Adjusted R^2 value is 0.84. Therefore we can conclude that more than 84% of the variability is explained by the last model in ‘bestmod’.</p>
<pre class="r"><code>summary(bestmod)</code></pre>
<pre><code>##
## Call:
## lm(formula = mpg ~ cyl + hp + wt + am, data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.9387 -1.2560 -0.4013 1.1253 5.0513
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 33.70832 2.60489 12.940 7.73e-13 ***
## cyl6 -3.03134 1.40728 -2.154 0.04068 *
## cyl8 -2.16368 2.28425 -0.947 0.35225
## hp -0.03211 0.01369 -2.345 0.02693 *
## wt -2.49683 0.88559 -2.819 0.00908 **
## amManual 1.80921 1.39630 1.296 0.20646
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.41 on 26 degrees of freedom
## Multiple R-squared: 0.8659, Adjusted R-squared: 0.8401
## F-statistic: 33.57 on 5 and 26 DF, p-value: 1.506e-10</code></pre>
<p>With the above result, we’ll perform anova to compare aganist our initial model which will uses am as a predictor variable only, and the best model that was found through performing stepwise selection.</p>
<pre class="r"><code>#Anova
initmodel <- lm(mpg ~ am, data = mtcars)
initmodel</code></pre>
<pre><code>##
## Call:
## lm(formula = mpg ~ am, data = mtcars)
##
## Coefficients:
## (Intercept) amManual
## 17.147 7.245</code></pre>
<pre class="r"><code>anova(initmodel, bestmod)</code></pre>
<pre><code>## Analysis of Variance Table
##
## Model 1: mpg ~ am
## Model 2: mpg ~ cyl + hp + wt + am
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 30 720.90
## 2 26 151.03 4 569.87 24.527 1.688e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<p>Since the p-value is significant we will conclude that the variables cyl, hp and wt do contribute to the accuracy of the model.</p>
<p>INFERENCE With the result above we perform a t-test on normality assumption for transmission (am) and from the result, we see that the manual and automatic transmissions are significantly different.</p>
<pre class="r"><code>t.test(mpg ~ am, data = mtcars)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: mpg by am
## t = -3.7671, df = 18.332, p-value = 0.001374
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -11.280194 -3.209684
## sample estimates:
## mean in group Auto mean in group Manual
## 17.14737 24.39231</code></pre>
<p>RESIDUALS AND DIAGNOSIS RESULTS We examine residual plots of our regression model and perform diagnostics to uncover outliers in the data set.The following observations can be inferred from our results:</p>
<ol style="list-style-type: decimal">
<li>Outliers are observed in the top right corners of the plot.</li>
<li>The Scale-Location plot points are scattered in a constant band pattern,<br />
implying constant variance.</li>
<li>The points in the residuals vs. fitted plot are randomly scattered on the plot verifying the independence condition.</li>
<li>The Normal Q-Q plot consists of the points falling on the line indicating normality of residuals.</li>
</ol>
<p>With the above observation, we compute some regression diagnostics of our model to find out the leverage points as depicted below. We compute top five points in each case of influence measures.From the result, we notice that our analysis was correct, as the same cars are mentioned in the residual plots</p>
<pre class="r"><code>par(mfrow = c(1, 4))
plot(bestmod)</code></pre>
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" width="672" /></p>
<pre class="r"><code>leverage <- hatvalues(bestmod)
tail(sort(leverage),5)</code></pre>
<pre><code>## Mazda RX4 Wag Chrysler Imperial Toyota Corona Lincoln Continental
## 0.2496110 0.2611168 0.2777872 0.2936819
## Maserati Bora
## 0.4713671</code></pre>
<pre class="r"><code>influential <- dfbetas(bestmod)
tail(sort(influential[,6]),5)</code></pre>
<pre><code>## Camaro Z28 Toyota Corolla Chrysler Imperial Fiat 128
## 0.08398495 0.28853987 0.35074579 0.42920432
## Toyota Corona
## 0.73054020</code></pre>
<p>CONCLUSION Based on the observations from our best fit model, we can conclude the following</p>
<ol style="list-style-type: decimal">
<li>Cars with Manual transmission get more miles per gallon compared aganist cars with Automatic transmission. (1.8 adjusted by hp, cyl, and wt).</li>
<li>mpg will decrease by 2.5 for every 1000 lb increase in wt. mpg decreases negligibly with increase of hp.</li>
<li>mpg decrease by a factor of 3 and 2.2 respectively (adjusted by hp, wt, and am) with increased number of cylinders (cyl)from 4 to 6 and 8.</li>
</ol>
<p>You can also embed plots, for example:</p>
<pre><code>## Warning: package 'DescTools' was built under R version 3.6.3</code></pre>
<pre><code>## Warning in GetCOMAppHandle("Word.Application", option = "lastWord",
## existing = FALSE, : RDCOMClient is not available. To install it use:
## install.packages('RDCOMClient', repos = 'http://www.stats.ox.ac.uk/pub/RWin/')</code></pre>
<pre><code>## ------------------------------------------------------------------------------
## Describe mtcars (data.frame):
##
## data frame: 32 obs. of 11 variables
## 32 complete cases (100.0%)
##
## Nr ColName Class NAs Levels
## 1 mpg numeric .
## 2 cyl factor . (3): 1-4, 2-6, 3-8
## 3 disp numeric .
## 4 hp numeric .
## 5 drat numeric .
## 6 wt numeric .
## 7 qsec numeric .
## 8 vs factor . (2): 1-0, 2-1
## 9 am factor . (2): 1-Auto, 2-Manual
## 10 gear factor . (3): 1-3, 2-4, 3-5
## 11 carb factor . (6): 1-1, 2-2, 3-3, 4-4, 5-6, ...
##
##
## ------------------------------------------------------------------------------
## 1 - mpg (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 25 0 20.091 17.918
## 100.0% 0.0% 0.0% 22.264
##
## .05 .10 .25 median .75 .90 .95
## 11.995 14.340 15.425 19.200 22.800 30.090 31.300
##
## range sd vcoef mad IQR skew kurt
## 23.500 6.027 0.300 5.411 7.375 0.611 -0.373
##
## lowest : 10.4 (2), 13.3, 14.3, 14.7, 15.0
## highest: 26.0, 27.3, 30.4 (2), 32.4, 33.9
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 2 - cyl (factor)
##
## length n NAs unique levels dupes
## 32 32 0 3 3 y
## 100.0% 0.0%
##
## level freq perc cumfreq cumperc
## 1 8 14 43.8% 14 43.8%
## 2 4 11 34.4% 25 78.1%
## 3 6 7 21.9% 32 100.0%</code></pre>
<p><img 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ngKqh45XFg4B2ugbqGKuu9VWxqgt4fnnfeHKJ2mHjlcWDgHa6BuoYq671XTBGgpe9flFGEX3tKzxAXZhV9fQdeX8K9Db1VK7JRThAC19CxxQQJ0fQWXBugfX+02kb5tmk/fhd6qlNgppwgBaulZ4oIE6PoKLr6M6cPX+6uYnv4SfKPUg4dJS+dgBdQtVFH3vWrLP4m0vYBp64vg55/1jvqKLZ4DPXULVdR9r9riAL07XEd/8yr4RuqRw4Wlc7AC6haqqPteNYdNpObLvz8+ftx+ojN4E0k9criwcA7WQN1CFXXfq7YwQLd7SLvYfNs0n4S+C6oeOVxYNgeroG6hirrvVVsYoP2LP2dcx1TK3nU5RdiFt/QscUF24ddXcGGA3vVC8y78s5ylxE45RQhQS88SFyRA11fQMUDvCdB8ixCglp4lLkiArq+g5iV86sHDpGVzsArqFqqo+161hQG6/Ta7XWrez/g+O/XI4cKyOVgFdQtV1H2v2vIvE+ldxsS3MeVr4RysgbqFKuq+V83js/DzP8upHjlcWDgHa6BuoYq671Vb/juR3uzzM/y7RKod9RVbOgcroG6hirrvVfP4rZzftL+V86cZNyll77qcIuzCW3qWuCC78OsryO+Fp0hXI8WyE6AxKsZsKQE6gQClSFcjxbIToDEqxmwpATpBE6CpBw+TJHPgS91CFXXfq0aAoiWZA1/qFqqo+141AhQtyRz4UrdQRd33qhGgaEnmwJe6hSrqvleNAEVLMge+1C1UUfe9auzCU6SrkWLZ2YWPUTFmS9mFn0CAUqSrkWLZCdAYFWO2lACdQIBSpKuRYtkJ0BgVY7aUAJ3Ae6BoSebAl7qFKuq+V40ARUsyB77ULVRR971qBChakjnwpW6hirrvVSNA0ZLMgS91C1XUfa8aAYqWZA58qVuoou571diFp0hXI8Wyswsfo2LMlrILP4EApUhXI8WyE6AxKsZsKQE6gQClSFcjxbIToDEqxmwpATqB90DRksyBL3ULVdR9rxoBipZkDnypW6ii7nvVCFC0JHPgS91CFXXfq0aAoiWZA1/qFqqo+141AhQtyRz4UrdQRd33qrELT5GuRoplZxc+RsWYLWUXfgIBSpGuRoplJ0BjVIzZUgJ0AgFKka5GimUnQGNUjNlSAnQC74GiJZkDX+oWqqj7XjUCFC3JHPhSt1BF3feqEaBoSebAl7qFKuq+V40ARUsyB77ULVRR971qBChakjnwpW6hirrvVWMXniJdjRTLzi58jIoxW8ou/AQClCJdjRTLToDGqBizpQToBAKUIl2NFMtOgMaoGLOlBOgE3gNFSzIHvtQtVFH3vWoEKFqSOfClbqGKuu9VI0DRksyBL3ULVdR9rxoBipZkDnypW6ii7nvVCFC0JHPgS91CFXXfq8YuPEW6GimWnV34GBVjtpRd+AkEKEW6GimWnQCNUTFmSwnQCQQoRboaKZadAI1RMWZLCdAJvAeKlmQOfKlbqKLue9UIULQkc+BL3UIVdd+rRoCiJZkDX+oWqqj7XjUCFC3JHPhSt1BF3feqEaBoSebAl7qFKuq+V41deIp0NVIsO7vwMSrGbCm78BMIUIp0NVIsOwEao2LMlhKgEwhQinQ1Uiw7ARqjYsyWEqATeA8ULckc+FK3UEXd96oRoGhJ5sCXuoUq6r5XjQBFSzIHvtQtVFH3vWoEKFqSOfClbqGKuu9VI0DRksyBL3ULVdR9rxq78BTpaqRYdnbhY1SM2VJ24ScQoBTpaqRYdgI0RsWYLSVAJxCgFOlqpFh2AjRGxZgtJUAn8B4oWpI58KVuoYq671UjQNGSzIEvdQtV1H2vGgGKlmQOfKlbqKLue9UIULQkc+BL3UIVdd+rRoCiJZkDX+oWqqj7XjV24SnS1Uix7OzCx6gYs6Xswk8gQCnS1Uix7ARojIoxW0qAThAFaIoaFFlZjegBGvXeB+qRLgVUzDJAAaAABCgAGBGgAGBEgAKAEQEKAEbswlMkVQ124bOryCFOIUApkqoGAZpdRQ5xCgFKkVQ1CNDsKnKIU3gPFACMCFAAMCJAAcCIAAUAIwIUAIzYhadIqhrswmdXkUOcQoBSJFUNAjS7ihziFAKUIqlqEKDZVeQQp/AeKAAYEaAAYESAAoARAQoARgQoABixC0+RVDXYhc+uIoc4hQClSKoaBGh2FTnEKQQoRVLVIECzq8ghTuE9UAAwIkABwIgABQAjAhQAjAhQADBiF54iqWqwC59dRQ5xiihA/xrfrystYugWARp29xEWeEyECfv3cb/+OvEXvKUqmGxGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjh0Bmpqk4VVQr6wDdZCpqEfHjgBNTdLwKqhX1oE6yFTUo2NHgKYmaXgV1CvrQB1kKurRsSNAU5M0vArqlXWgDjIV9ejYsQufuoihW+zCh919hAUewy68m2QzMjA1Oe7CrzTbkhQxdIsADbv7CAs8hgB1k2xGBqaGAB1GgK6tBgE6aSJnCNAIU5NjgLoPXkYkDa+CemUdpImr9VGPjp1XgL5/3rwO/9vqOVVyajguqFfWgTrIVNSjY+cUoH981RCgYXwajkvqlXWgDjIV9ejYOQXobUOABvJpOC6pV9aBOshU1KNj5xOg9w0BGsql4RigXlkH6iBTUY+OnUuAbl/AzwrQlW6QJykyv73swgfefYQFHsMuvJtkMzIwNfpd+Ic3zSf/QoAGmt9fAjTw7iMs8BgC1E2yGRmYGn2A3m3C844ADTS/vwRo4N1HWOAxBKibZDMyMDXyAH3/vHn5OC9A3QcvI8sbjmHqlXWQJq7WRz06dssDdPMC/tN3BGiwxQ3HFeqVdaAOMhX16NgtD9Db5ub7RwI02OKG4wr1yjpQB5mKenTsFgfofbN5AU+AhlvacFyjXlkH6iBTUY+O3dIA/eOr7Qt4AjTcwobjKvXKOlAHmYp6dOyWBuht88kv2//PLnyo+T1mFz7w7iMs8Bh24d0km5GBqZHuwh9ykwANNb/JBGjg3UdY4DEEqJtkMzIwNcoAff+8edb9iQANNb/LBGjg3UdY4DEEqJtkMzIwNcoAvWtOvQy8nfvgZWRRwzFCvbIO0sTV+qhHx44ATW1RwzFCvbIO1EGmoh4dOwI0tUUNxwj1yjpQB5mKenTsvL6RnsuYQjk1HBfUK+tAHWQq6tGxI0BTc2o4LqhX1oE6yFTUo2OnCdCVbpAnKTK/t+zCB959hAUewy68m2QzMjA18m9jahGgoeb3lgANvPsICzyGAHWTbEYGpoYAHUaArq0GATppImcI0AhTs44Ancd98DIiaXgV1CvrIE1crY96dOwI0NQkDa+CemUdqINMRT06dgRoapKGV0G9sg7UQaaiHh07AjQ1ScOroF5ZB+ogU1GPjh0Bmpqk4VVQr6wDdZCpqEfHThOgK90gT1LE0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdaAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUDdBy8jkoZXQb2yDtLE1fqoR8eOAE1N0vAqqFfWgTrIVNSjY0eApiZpeBXUK+tAHWQq6tGxI0BTkzS8CuqVdVZLP0IAABxLSURBVKAOMhX16NgRoKlJGl4F9co6UAeZinp07NiFT13E0C124cPuPsICj2EX3k2yGRmYmhx34VeabUmKGLpFgIbdfYQFHkOAukk2IwNTQ4AOI0DXVoMAnTSRMwRohKnJMUABoAAEKAAYEaAAYESAAoARAQoARqJd+BQ1KLKyGtF34aPe+0C91AWz26LOoWKWu/AFnK2FFSnhQDI79XKoyCFOIUApkqoGAZpdRQ5xCu+BAoARAQoARgQoABgRoABgRIACgBG78BRJVYNd+OwqcohTCFCKpKpBgGZXkUOcQoBSJFUNAjS7ihziFN4DBQAjAhQAjAhQADAiQAHAiAAFACN24SmSqga78NlV5BCnEKAUSVWDAM2uIoc4hQClSKoaBGh2FTnEKbwHCgBGBCgAGBGgAGBEgAKAEQEKAEbswlMkVQ124bOryCFOIUApkqoGAZpdRQ5xiihA/zrb/BoFREK6IiUciGGqFvm1V/Dfk/j11zR1dAUVh7ho6DQBaphWyeNETtyS0SDxWQ8/y4aOAEUp3FNxBnUKwGzZ0BGgKIV7Ks6gTgGYLRs6AhSlcE/FGdQpALNlQ0eAohTuqTiDOgVgtmzo2IVfpJgiJRwIu/D5F2QXPggBurYiJRwIAZp/QQI0CAG6tiIlHAgBmn9BAjSIYVoljxM5cUtGg8RnPfwsGzoCFKVwT8UZ1CkAs2VDR4CiFO6pOIM6BWC2bOgIUJTCPRVnUKcAzJYNHQGKUrin4gzqFIDZsqFjF36RYoqUcCDswudfkF34IATo2oqUcCAEaP4FCdAgBOjaipRwIARo/gUJ0CCGaZU8TuTELRkNEp/18LNs6AhQlMI9FWdQpwDMlg0dAYpSuKfiDOoUgNmyoSNAUQr3VJxBnQIwWzZ0BChK4Z6KM6hTAGbLho5d+EWKKVLCgbALn39BduGDEKBrK1LCgRCg+RckQIMQoGsrUsKBEKD5FyRAgximVfI4kRO3ZDRIfNbDz7KhI0BRCvdUnEGdAjBbNnQEKErhnoozqFMAZsuGjgBFKdxTcQZ1CsBs2dARoCiFeyrOoE4BmC0bOnbhFymmSAkHwi58/gXZhQ9CgK6tSAkHQoDmX5AADUKArq1ICQdCgOZfkAANYphWyeNETtyS0SDxWQ8/y4aOAEUp3FNxBnUKwGzZ0BGgKIV7Ks6gTgGYLRs6AhSlcE/FGdQpALNlQ0eAohTuqTiDOgVgtmzo2IVfpJgiJRwIu/D5F2QXPggBurYiJRwIAZp/QQI0CAG6tiIlHAgBmn9BAjSIYVoljxM5cUtGg8RnPfwsGzoCFKVwT8UZ1CkAs2VDR4CiFO6pOIM6BWC2bOgIUJTCPRVnUKcAzJYNHQGKUrin4gzqFIDZsqFjF36RYoqUcCDswudfkF34IATo2oqUcCAEaP4FCdAgBOjaipRwIARo/gUJ0CCGaZU8TuTELRkNEp/18LNs6AhQlMI9FWdQpwDMlg0dAYpSuKfiDOoUgNmyoSNAUQr3VJxBnQIwWzZ0BChK4Z6KM6hTAGbLho5d+EWKKVLCgbALn39BduGDEKBrK1LCgRCg+RckQIMQoGsrUsKBEKD5FyRAgximVfI4kRO3ZDRIfNbDz7KhI0BRCvdUnEGdAjBbNnQEKErhnoozqFMAZsuGjgBFKdxTcQZ1CsBs2dARoCiFeyrOoE4BmC0bOnbhFymmSAkHwi58/gXZhQ9CgK6tSAkHQoDmX5AADUKArq1ICQdCgOZfkAANYphWyeNETtyS0SDxWQ8/y4aOAEUp3FNxBnUKwGzZ0BGgKIV7Ks6gTgGYLRs6hwB9ePuiaZoXr96F38QwocsfJwrnnoozqFMAZsuGbnmAvn/edJ7+Enwbw4QufpwonXsqzqBOAZgtG7rFAXrIz6b5NPg5KLvwaytSwoGwC59/wep24f/4qmluXm1ex/+4CdKXobciQNdWpIQDIUDzL1hdgN41zSfdS/f7GU9BCdC1FSnhQAjQ/AvWFqAPb5qb7y/+OMkwrcseJyrglowGic96+Fk2dAsD9P3z5pnhZoYJXfY4UQH3VJxBnQIwWzZ0CwP0fsYbnz2GCV32OFEB91ScQZ0CMFs2dAsD9K5pXj9++PZ50zx5NeNmhgld9jhRAfdUnEGdAjBbNnQLA/S2ufn+jutAsQbuqTiDOgVgtmzolgfoPx6uA/0kOEHZhV9bkRIOhF34/AtWtgv/8GYbnF/8/Pj48YfNH4L3kwjQtRUp4UAI0PwL1higu12k+yb8MiYCdG1FSjgQAjT/gpUF6OYl/PHq+dvthlIYw7Que5yogFsyGiQ+6+Fn2dAtD9DDZUwzLmkyTOiyx4kKuKfiDOoUgNmyoVt+GRMBinVwT8UZ1CkAs2VDt/xC+sPO0R0BCiX3VJxBnQIwWzZ0yz/Kebh4ifdAIeWeijOoUwBmy4Zu6bcxbVLzWbeL9HbGhaDswq+tSAkHwi58/gVr24Vvv0/56U+760D5PtBsi5RwIARo/gWrC9DHu4ZvpC+gSAkHQoDmX7C+AH382/53enwR/lvlDNO6+HGidG7JaJD4rIefZUPn8Fs5P/74WdPcfP7TjJsYJnT540Th3FNxBnUKwGzZ0PF74VEK91ScQZ0CMFs2dAQoSuGeijOoUwBmy4aOAEUp3FNxBnUKwGzZ0GkClF34tRUp4UDYhc+/YIW78BYE6NqKlHAgBGj+BQnQIATo2oqUcCAEaP4FCdAghmmVPE7kxC0ZDRKf9fCzbOgIUJTCPRVnUKcAzJYNHQGKUrin4gzqFIDZsqEjQFEK91ScQZ0CMFs2dAQoSuGeijOoUwBmy4aOXfhFiilSwoGwC59/QXbhgxCgaytSwoEQoPkXJECDEKBrK1LCgRCg+RckQIMYplXyOJETt2Q0SHzWw8+yoSNAUQr3VJxBnQIwWzZ0BChK4Z6KM6hTAGbLho4ARSncU3EGdQrAbNnQEaAohXsqzqBOAZgtGzp24RcppkgJB8IufP4F2YUPQoCurUgJB0KA5l+QAA1CgK6tSAkHQoDmX5AADWKYVsnjRE7cktEg8VkPP8uGjgBFKdxTcQZ1CsBs2dARoCiFeyrOoE4BmC0bOgIUpXBPxRnUKQCzZUNHgKIU7qk4gzoFYLZs6NiFX6SYIiUcCLvw+RdkFz4IAbq2IiUcCAGaf0ECNAgBurYiJRwIAZp/QQI0iGFaJY8TOXFLRoPEZz38LBs6AhSlcE/FGdQpALNlQ0eAohTuqTiDOgVgtmzoCFCUwj0VZ1CnAMyWDR0BilK4p+IM6hSA2bKhYxd+kWKKlHAg7MLnX5Bd+CAE6NqKlHAgBGj+BQnQIATo2oqUcCAEaP4FCdAghmmVPE7kxC0ZDRKf9fCzbOgIUJTCPRVnUKcAzJYNHQGKUrin4gzqFIDZsqEjQFEK91ScQZ0CMFs2dAQoSuGeijOoUwBmy4aOXfhFiilSwoGwC59/QXbhgxCgaytSwoEQoPkXJECDEKBrK1LCgRCg+RckQIMYplXyOJETt2Q0SHzWw8+yoSNAUQr3VJxBnQIwWzZ0BChK4Z6KM6hTAGbLho4ARSncU3EGdQrAbNnQEaAohXsqzqBOAZgtGzp24RcppkgJB8IufP4F2YUPQoCurUgJB0KA5l+QAA1CgK6tSAkHQoDmX5AADWKYVsnjRE7cktEg8VkPP8uGjgBFKdxTcQZ1CsBs2dARoCiFeyrOoE4BmC0bOgIUpXBPxRnUKQCzZUNHgKIU7qk4gzoFYLZs6NiFX6SYIiUcCLvw+RdkFz4IAbq2IiUcCAGaf0ECNAgBurYiJRwIAZp/QQI0iGFaJY8TOXFLRoPEZz38LBs6AhSlcE/FGdQpALNlQ6cJUAAoAAEKAEYEKAAYiXbhU9SgyMpqRN+Fj3rvA/VSF0xfkUOcQoBSJFUNAjS7ihziFAKUIqlqEKDZVeQQp/AeKAAYEaAAYESAAoARAQoARgQoABixC0+RVDXYhc+uIoc4hQClSKoaBGh2FTnEKQQoRVLVIECzq8ghTuE9UAAwIkABwIgABQAjAhQAjAhQADBiF54iqWqwC59dRQ5xiihAm/h+pcjKajSxAzTBIZweTuKC6StWcYiLhk4SoE0psVNOkQICNMlUnR5O4oIEaJSCy6bOaXrnFU1RlSJrqxG5SJJDkBbkENdXkAClSKoaBGh2FTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PYx5RfM/W0srUsCB5Hbq5VCRQ5y8udPDmFc0/7O1tCIFHEhup14OFTnEyZs7PQxALLdTL4eKHOLkzZ0eBiCW26mXQ0UOcfLmTg8DEMvt1MuhIoc4eXOnhwEA1SFAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFAKP0Afrw9kXTNC9evYtZ5PdvnzfNzRc/x7r/P7765Jfjf32IU+2kyMOP27Y98S5yeiCt98+b1zGLOA3ASNPjrMf1e420NpPH4b5SIwUjnbYjFeOdwwNDP/FYrkseoJtF7zwdOgYfDz/sajQvIxV40/SW4O3ukG7+Eq/IvkbTfBmtRuePrxrn0/K0iNMAjDQ9znpcv9dIazN5HO4rNVIw0ml7vWLEc3hg6Mcfy5jUAXpYiKb5NNpz0NtDjTgJ+rApcFyC+2M1z3E+KdKr0TyLVGPn1vk4zoo4DcBI0+Osx/V7jbQ208fhvVIjBSOdtiMV453DQ0M//ljGJA7Q7T+aN6+2L3qeR3t62K729on4hzebYt/73//mX7DeEmwP6emm2u9fD66LS5G2xk+PXRG/Qzo9kM69+z8EF91yGICRpsdZj+v3Gmltpo/De6UmehrhtB2pGO8cHhr68ccyKnGA3h0e3X28p6B3h2cCtzFS+rf2X+NDk+/2B7JdGbdqp0XuD0e0LeL1NOfsQFrbOXI9LS+75TEAI02Psx7X7zXO2kwfh/tKjfc0xmk7XjHOOTw09BOPZVTaAN08uP0/J70/ers93PO974uqrQ+bf6GaL74+LEHvODb/ajoN13mR2+OZ4lbkvEZr+/bQvzieliPdWjIAI02Psh5j9xpjbcYr7v9315UK7KnnaTt2iJHO4cGhn3oso9IG6OaxeQfagKgBerd9MdN7G3rzRGDfbr/hOi/S06sXocbmh6/vHE/L8yJOAzDS9CjrEXivbmsTUNF7pcYKRjptxw4x0jl89cQyj03aAL2P98Znz8nTf+crch7vbr5819/H66+vW7nzIj1+ATpQY3OmvHx0DdDLbnkMwEjTo6xH4L16BuhERfeVmuhpjNN27BAjncNXTyzz2KQN0HbF28utnryKV2X77lD7BvS3Ed5n/bi9wyuR4DbQ50V63P5BHqix+a9NvzxPy/MiTgMw0vQo6xF4r55PlsYr+q/UWMFIp+3YIUY6h6+eWOaxSRug2yfmd7trBSJeB9q+0xGzyHkk7Pj+Sz0YoJvB8nzr+LRG97rJ9bQ8K+I0ACNNj7MeQffqujbjFSOs1EjBSKft6CFGPIeHTizz2CQP0H88XG3leM3Pue3FD1tfRNrnlwXo9ho2z7ejTmrsHn7kAPUYgFUGqO/ajFaMsVLjARrjtB1varxzON8AbS/Bap+Zf9x+ziDaftLdYbVv4rxToArQK9cA+9TYv4MXMUC9BmCNAeq8NmMVo6zU9YKxTtvRpkY8hzMP0N1ju49zkfvWtvdf/n233N6bSC1RgD7EuKr4UON298fYAeowACsMUO+1GasYZaUmAjTCaTt2iDHP4XwDdLu/dXhHOMIOeaf3EeG3kd4o0AToB9+PupzVOBxI3JfwLgOwvgB1X5uQQ0z3Ej7KaTtSMeo5nHeAHh6ab9r03Ee5kOVE7F348yKt7ZcdeL+hfqxxvNYvcoB6DMBI0+Osx9S9+q/N9YqRVmrkECOdtuOrGO8czngX/i5FgPaP/y5OkdjXgZ4X2Wpf1Hi/oX6scXzPqRPnqbTTAIw0Pc56TNxrhLW5XjHSSo0cYqTTdrxivHM44+tA+w8zUrbFfFF9EPuTSOdFNn7wDbWLGmkC1GkAVvZJpBhrc71ipJUaOcRIp+1IxajncMafRNq8+ujtWUR6DzTtS/g4n70+K9J9Bi3OF0slDVCnAVjTZ+Ejrc31ipFWauQQI522IxWTv4TP5LPw22Y86x5crP2d7puwdh333DPs6y9BnG//OSuyOZBPYny9/tT76e5FnAZg/Ht8kn4bU6y1CTgO35UaKRjptL1eMeo5PPgJFevYJA7QbWO2X574Mc4r0s72u1gPl0BEudj07PLJ9pCcvw/0/H2CONd8JQ9QpwEYaXqc9bh+r7HWJuA4fFdqpGCk03akYsxz+NpH/Exjk/ob6XuvP6J9I333TYmdOJ/lPP8Az55r8JzuvfQ4nq/JA9RrAC6afsyxOOtxtWC0tRk5xB3nlRopGOm0vV4x5jl89vRn2dgk/51If9v/coBYH7N83H90wnu1Twv0cmd/SNF+J9LxePIPUK8BOG96L13irMeVgvHWZuwQO94rFdBT59P2esWI5/BwgBrHJv1v5fz442ebB/n5T1GL/P5N+wv2YhU5y504vwXyWKT/z3H2Aeo1AGdN76dLkt/KuSsYb21GD7HlvlIjBSOdtiMVo53DVwI0k9/KCQClIEABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiACd5+HHz5rm5kv1wwBi+vCd+hHkggCd5eFNs/VM/TiAeB5+aF6qH0MuCNBZ7tv8ZLxQsnsmPBgBOstd03z6Tv0ggKgI0HAE6CybAH2tfgxAXARoOAJ0FgIU5SNAwxGg4f74qjm8BXq7eSn/22dN8/nPm//h4e2LzU8//+7w4v73b5rm5s/vNjfYvuB/eNPcfN/9D++f798COL3N5q988ku3w//Fz/t7eXh7/O/jDRnv2m1m4dnjh+2Iffn3/c/ORvBsPM/nanT0du/z80whCAEa7ixA327/uE3GzUB3nu5m9IfuPz/9t+sBenab7RT/r+enk/v+6+4/b14/ntzH7eFPqNI2QHfz05urkxE8Gc/+HF3+3YvRI0DnIEDDnQbok+e7C5oOA9ls/inf/r27/X/+w9UAPb/N7vKopndWHKp1/323f965e1qLam2G5z+8OZmVixHsjefZHE2PHgE6BwE6y+E90NvNhH3a/gu+HdCn321fGD3vLhDdTujmH/f2v68E6MVt2im+efVuewneLilvtz94fPzw9eFeu9y85xV85doI3D593E/PxTj1xvN8jkJGjxELR4DO0g/Q3fPA+8OfNrO5DcrDpU7bQR8O0IvbbKe4e+6wvfmz4/9w/MPt4fktr+Drtp+r9k+754yn49Qbz/M5Chg9AnQGAnSWfoDuZqz3lmQ7eCfvVl4J0PPbtFP88uSv3B8+73R3eGtq92Yor+DrtovNrdvd+0ln49Qbz/M5Chg9AnQGAnSWfoB2f+i/Jdluj25+sPsHfT+QFwF6cZuBjL24YGpzo91LeYa7bqdXZDwbGKfjeJ7PUcjoEaAzEKCz9AJ0N3XH9+hbn77rjfe1y5gubjP+JHWnew3PK/jq7ULy8MfLcepNz9kchYweAToDATrLZYD2NjWDA/TiNkEB2r6G5xU8TgO0nbjgAA0ZPQJ0BgJ0lsEAPU203oukkQA9S8GQAG1fw/MKHufPQC/HaTRAJ0ePAJ2BAJ1l8CX8/i3Px/MfjLwHenqbkPdAu9fwvILHwHugZ+PUi83L90AnR48AnYEAneUyQLebmKdJd/IGfjuQJ+PcvWo6u83glU7PDj94tvvDzf/gFTw2A7EPwdvd2zrn/9geJ+5sjkJGjwCdgQCd5TJAtz/65OfDH1/2rrTbvmG/C9DdEH/Y/eTiNpdTfLxW5XBJyuYv/cNXjHb13u8vl99H6cU49cbzfI4CRo8AnYEAnWUgQLcxuf0gx+PHH7qPwrWf9fjp8fG3/SeR2s92fvmu99mki9sMTPHuEyTbz4fsn2/cNU+e8wq+eu1G0Bc/Hz9MdDFO/Xc+z+YoZPTu+dbbYAToLAMBevjs8Fb7D/dhp/PJbiCP1478p68OI3pym4Ep7l1wsn86cPwICiq2GYMn+xHr/m29GMHeeJ7PUcDodQPMZ+FDEKCzDAXo4/3zkwk9JOgn/3u/Ib//Gy//OP/J7jZDX9j04euz/Ox/aAT12r6ZuYvBp7vXJucj2B/P8zmaHr3u+0WYtBAE6CyDAfr48OP2Cxaf/Pn47Yw/PN++aD9e0fRx+4PPv+td43R6mytfGfpZs/tKxx2+yQ77a5c2sfjk1eFnZyN4Op5nczQ9eg/fbv4Cv3o2BAEakfc3z/FNdng8uQ4UagRoRN6Bd8frKhCgq0KARuQcoL89v7hgGhUiQFeEAI3IM0DvG97YR4sAXRECNCLPAH1/uKoUlSNAV4QAjcgzQP/4ur0YHyBAV4QABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIwIUAAwIkABwIgABQAjAhQAjAhQADAiQAHAiAAFACMCFACMCFAAMCJAAcCIAAUAIwIUAIz+PydK5jKWpzDOAAAAAElFTkSuQmCC" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 3 - disp (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 27 0 230.722 186.037
## 100.0% 0.0% 0.0% 275.407
##
## .05 .10 .25 median .75 .90 .95
## 77.350 80.610 120.825 196.300 326.000 396.000 449.000
##
## range sd vcoef mad IQR skew kurt
## 400.900 123.939 0.537 140.476 205.175 0.382 -1.207
##
## lowest : 71.1, 75.7, 78.7, 79.0, 95.1
## highest: 360.0 (2), 400.0, 440.0, 460.0, 472.0
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 4 - hp (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 22 0 146.69 121.97
## 100.0% 0.0% 0.0% 171.41
##
## .05 .10 .25 median .75 .90 .95
## 63.65 66.00 96.50 123.00 180.00 243.50 253.55
##
## range sd vcoef mad IQR skew kurt
## 283.00 68.56 0.47 77.10 83.50 0.73 -0.14
##
## lowest : 52.0, 62.0, 65.0, 66.0 (2), 91.0
## highest: 215.0, 230.0, 245.0 (2), 264.0, 335.0
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 5 - drat (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 22 0 3.5966 3.4038
## 100.0% 0.0% 0.0% 3.7893
##
## .05 .10 .25 median .75 .90 .95
## 2.8535 3.0070 3.0800 3.6950 3.9200 4.2090 4.3145
##
## range sd vcoef mad IQR skew kurt
## 2.1700 0.5347 0.1487 0.7042 0.8400 0.2659 -0.7147
##
## lowest : 2.76 (2), 2.93, 3.0, 3.07 (3), 3.08 (2)
## highest: 4.08 (2), 4.11, 4.22 (2), 4.43, 4.93
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 6 - wt (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 29 0 3.21725 2.86448
## 100.0% 0.0% 0.0% 3.57002
##
## .05 .10 .25 median .75 .90 .95
## 1.73600 1.95550 2.58125 3.32500 3.61000 4.04750 5.29275
##
## range sd vcoef mad IQR skew kurt
## 3.91100 0.97846 0.30413 0.76725 1.02875 0.42315 -0.02271
##
## lowest : 1.513, 1.615, 1.835, 1.935, 2.14
## highest: 3.845, 4.07, 5.25, 5.345, 5.424
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 7 - qsec (numeric)
##
## length n NAs unique 0s mean meanCI'
## 32 32 0 30 0 17.8488 17.2045
## 100.0% 0.0% 0.0% 18.4930
##
## .05 .10 .25 median .75 .90 .95
## 15.0455 15.5340 16.8925 17.7100 18.9000 19.9900 20.1045
##
## range sd vcoef mad IQR skew kurt
## 8.4000 1.7869 0.1001 1.4159 2.0075 0.3690 0.3351
##
## lowest : 14.5, 14.6, 15.41, 15.5, 15.84
## highest: 19.9, 20.0, 20.01, 20.22, 22.9
##
## ' 95%-CI (classic)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 8 - vs (factor - dichotomous)
##
## length n NAs unique
## 32 32 0 2
## 100.0% 0.0%
##
## freq perc lci.95 uci.95'
## 0 18 56.2% 39.3% 71.8%
## 1 14 43.8% 28.2% 60.7%
##
## ' 95%-CI (Wilson)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 9 - am (factor - dichotomous)
##
## length n NAs unique
## 32 32 0 2
## 100.0% 0.0%
##
## freq perc lci.95 uci.95'
## Auto 19 59.4% 42.3% 74.5%
## Manual 13 40.6% 25.5% 57.7%
##
## ' 95%-CI (Wilson)</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 10 - gear (factor)
##
## length n NAs unique levels dupes
## 32 32 0 3 3 y
## 100.0% 0.0%
##
## level freq perc cumfreq cumperc
## 1 3 15 46.9% 15 46.9%
## 2 4 12 37.5% 27 84.4%
## 3 5 5 15.6% 32 100.0%</code></pre>
<p><img 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" width="672" /></p>
<pre><code>## ------------------------------------------------------------------------------
## 11 - carb (factor)
##
## length n NAs unique levels dupes
## 32 32 0 6 6 y
## 100.0% 0.0%
##
## level freq perc cumfreq cumperc
## 1 2 10 31.2% 10 31.2%
## 2 4 10 31.2% 20 62.5%
## 3 1 7 21.9% 27 84.4%
## 4 3 3 9.4% 30 93.8%
## 5 6 1 3.1% 31 96.9%
## 6 8 1 3.1% 32 100.0%</code></pre>
<p><img 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" 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