Mathematics
Grade10
Easy
Question
Direction : Cars lose value the farther they are driven. A random sample of 11 cars for sale was taken. All 11 cars were the same make and model. A line was fit to the data to model the relationship between how far each car had been driven and its selling price.
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ZkESRAcULt4zmZZPKfDmerZVnWcjv5Ud7C6NKXyS4l0Bd8wDte7WLNFnzwINrPF07mSSAu0HYh3Q+6ktdAeDTwz/hIGXXs8lSlTSFodSWkjPIQPkEDgVfw0YyPORln0n492bsyIhlArdfJkJPBTe/l2B5EFnbIZGzWJmPCsqxw0BZxAeyCMplbMsEZH9uTgcg7tIv99GSSKujVucJORnpHb40P+tXRwC+TSfB1i8VhVaqX7QZEu4CWILv0fOGAlGS7ILoerF3cESfTog1gw/bkj9cuaMbHejIKPuitysxN9xAtCSO7sBimfsy+cGBPpjbu4GS/TIYMOeORqVu6n0sJfOyMb6b+Gy/2de4tpCf3OBkzTZnperaCUK9jil22C0CeSLnLngydzL/HibQLcgkhezKtOC1IeEHJsWd8pknyei48+vL3V+cE7teTicjT2SIrs7Y5MoQDJ6NMlg7aPdPjZGgJ2b122C5oxudFDV8j6g2U4EI625N7ejIMMYdDlkXh+W0wGY/PR641Xpm8wsF99RQF0dVpy8wyoHhkstDVpQT8Rtsd2gVy8jMt/CNdETX6lsHkoaMrrfHJZORfksmX+VNwUQVh1q1K+2Vyj11mwfT/a8pSWiScDH0SZTJZRHsUR73jHdqFX09G2SHiAkpITybZwcuPx/UgCqMgzsMgbsLtfjm2J7Oe3CHirHDRWaaeRhGgSDJZbnMpAeJkFhc449tTu/DqyTTjm/IaH2Aj3x8kBOrJR5/xreOLbBUU6WVaOgTSIZCCmjVgTm6HjagqT8M1zH2Fk11CgQxvbJJBIpMvHM4FejIZECDU9nQ49G77Zg8ifOcxIL5Xb87f8r9Ud9koWqfDxUu08Sp9ilv3Vgui6bmUQBj+3SaCOisrwUrLXvTCrXV2/WbTctujdU3VdOufOnBusBO9NjBrrSb6oc6qj2vrrrq+tXe3z9/Z2xw8TwQbvUvLwlv1w20fEdT0kqYErLesvl/yA/tOs360hVvUNCOCROCb9eZtUVv/vTaSbVGT//rH0elQGJ/NdLdkk5igOs/L8TC/z/MijBXCcBHH32/0x+ZsxkIYLm/lz20cRTI1OS0Ez7bA3rWFZah3OcCS5S2UqL91rBX/1Jy+UwHfaV97Gy71kr0pnjzr85LWrHtNe9cyfGiflRJ5jatI4VXU3Gs6bCZb1G6wt7wX1rWwcJ58K/MgqBIRG1nWJMNSft9FUfQk9Fs8S8LC7+hOBLdNaWG40N8WguDLZVZHJho8RU8DYYookrI7/TUIF3KDVKQFWiJ3SPJJbsXbNjXbvN4mv1uwt23gOdS77RNPg/D2ZJO5k9sUz9/t/9Bm2gKLTYuyNmfzTnneoiYpC4CNILd9J27sfjdEf2W6YWRWnoo2V7bXyiHKuh0yGT+yKbJmI+96MtklBEgmr1Dy0ihIm48eSTVGyRvFoMyuEbUn3vbrEgrgrTD3o0bYHA6mSpvT0yg4ucpGI/eajVenhd60uhvEVuQ6GTVZWn1tV036Mz5URmHKQcoorYxQG9m5BQc+MgPhXNApPg6IyOSfjHrHh8a7WBX12UtgBpOv1Uan4Bkf6knI1lP0tF+pe1FeVk2hX6G3JOxSAj1lFImMKhyV7BklgDLoOk1TTo4SwF6dxAzHJXIL6DzGMz5iF1RGcZYxa6xHxnV51VTSCvR0kduArn5ORtsF762mKAGEDWZwxjfF/bGEQN8K1z3Dn/zInNwCad++1epeBrYzmI1z0XndlPUKA0XNFrgVn9V/mplQBuxzvSgBgABZi2jtHGWydCUQ3Tv8k6mTfYg9mZ1bYMZH7IJGW+TkF0fj4bCITsvmpqNkz57on/Ht5wtHKyOUwXgXc44SANSjlRGKHyDYfOCMz0K0+NulBP7DGp8DlMnGkXg4jkXNKMuqa9aM4kjwxgy0J3tl8ntsF7QJAKNa9IcLQg05+UOIzGt8gMlra3wWVrj7qZXJw+G9Xppk5VabkxzavdDURexCgZ4iLNnXdgEl0vWh5AFtF37FBz85xec5GhC7kLigZpEGhdrFSyuU/2l9l8PitKxcIY/avFqNzvVEccSmx8kY78KLGnp1Cr9CCXkQkdbG/sm/4cMcC/yc7JXJrIyus/N8nDqq/Z79fSnMbLtfT7vwGW2Jk/32ZBLD+6FGXr195yZYGcFPfmx7cgtU6z25BPjtyTgZIZg8i/qdjaw5n0IA9RbSUCZ72fo9MhlRo42ELJN/kEw+8ciOowEpo/7lJ3KdxCF8FgKLriy7RJdlpv2DnRugg37DWcY3Cr5HdEVOZpns4+QVojb3+sLxajUqPoTa0YB2vzCRcR8ftfEZ3dlRUXNGW2HmMgvJnC8y2aUEduhzfk7ea42PYhDRSl4vBhXJZELtX9CToU+Rxk/ODSQuHjAGUex8DKOqvIwxKgctP/hl8p7aBa9WQydDFT6Ys8MpCOje7idA9GNkcs/vYi+ZjHOsWQgDSscujpm34J9W7a1dIMX9Mhm1iwWitoSm0cJUj5M/hMgo+PbTk1kZ5ZBVHbvo2lTHpH66rm+gjeSKRqiRQkHLjzu0C2+UACIyCq+PmvFBrXvqySQu0AwQLHC6WjQyz95ksPWsUOCMj3prj5MRG28Gt7P0ZDIMN1QivQdR+3f9k0nweYdwoh4ZCAIT1aPSMTMxL7HL456e9viVma1J8QFsiK17Xp1ou8JRkBA4GhC7kEz2Cj4awoMF+NPLh4H5UvgYhFejdp7d4+Q7YPh9/S7Q7rmXTJ7StLo34wNO7g0XHfmPBr0ZH/Qp4uReiIMuQ/v4aAOzXZgwxei0lr7C0yqkHgtozPhnfDs6GTIvTUZwxhdMSCb7hou3gy56vgLELvv5wk1RTxZSwsAHzg3GRt2TS02ZydU7mvER8/qU5h0y2e8LR53Mx8kyGUVOZl84l3ozRFl+kctPCjR04JfJyCE9doGWSGfrzABbX7gwTfK8aalvivK0Nn8D8tSSATq3cGynPfVkyJAYJv/kHcuPpF0gAm8Bk+bnzSIMwy/n4xyEvIV36MnTO+RkNANsXCc1cLtA7kzVyswUBoaY9x2RW3bYLhA13BK7d+SWd+7jM3XhEDRRA8xhYU892SuTZaBGPdki/9JuxR4Oz+xFYbCiLM/W26YQuzBbY8Yvk/fzhaMRrW+7ICtcJy4OmvFFRTA/27i8Ibzc0sCH2oVX8KEyOucZn2WXhYb9VLje3vfcnJb1JmeWKJMpcoufkxEBfwZtAaINw/dHT/seJ3M0Lfgwb4QqCZrx+RhoKNipZFqfyAffNGY/meyfVjl2qR2Nh+PuPiPz7CvXFYldyNN+h56M2Hi1C4oSQLZWmjStMM4aaRcHzfiaMigvg3vd67iBKEsvrgSlJklLV/O+9mQQfEJx+PQLqycXjsab2A0C5m76fJWVqs1JhrbsYBt3zfhAdvj1ZO5kiNqueBfdMwft46uTs+t6liORy3L2dx4HGhC1ydpLpMLtWONDTsZ1JcfJg41MdtUKGO0tYTZqdArrj9zSs8JBBiWvX7sggokW1NGVbBdym0sJ0KLNQfv4Btl9ZsJ7VOGa5C7I62CUCuslLWqsJ2NLMDOlGEQYn2OjjLrIUKDKtM0KK2HmKFhRrE6a8RHzouLD2NBwQeTHTkYbs0i7+IED34TW+AC1t0L7USnu8sssKMaDuUYCtzHtBcgXjtglildbrqCos7z8sFFGi3Q8zkueSdnnlZmfDU6M/C4BfiITauh3QcOFnXJuYIa+kHOKQXS0PSPZuK+7BcHfX8fVfKUx7W/O26pLPAJjB7v4WtJ5dc6/owVTWrK57aUWZsYi9rRHug4wmhohwGztQ03Emksp/IAMlfRkB7zzrfB8WksNrGiH2WVtVuOrIPiS/w7uquYsGdZNU8Vr66D7pO7FG9i67Spo6PQt9Er09yAamNXsV/RnSfSyNuHVqHqYyTTfwQRvW268hgXYP3niEgpPDy6hQCVheOJSAvj8YPEKNi34MvDt9oO7ZJim913wFQfjq9kmpn09zu8vhhfJOI8frKs5OqD3HeW73PJhQre1Gf2tUc5txsK2ttBEdSnMPNjUEbavayHsnrklDH5A+na5cchXmDCe8EiMzvXkab/wlmwzBfaW/SAuq6pqSnCtjJqzaZBcmNFIiHxhZCy/eymHRXR3p9HWB8aES/mj8G2t+zcG62/rtf5y4dY1YQartW6/kFsGa8mZxUSuSkr3ZXx7Dl/cbd/M4Pb5UVL/V7Jr6aDNKAtXum1ksIpuT/QuW7PcZmtuM9FCSga24tX6TipTZOSZtXletojYCp4Um/b1Nvi7ZKQGvS98ahtgXytzbKlM0toe3VqiGb1LUGtv0yplHLC3fVt/g6jc74ZorJ72l79uVIVznvZ0LNFego+d1nd42k/g+85MpPPstpjGujkNfCSTca8ro4YZ/3CBcQEZNcocMvAFdaoA1c3qtEwbE5gsLV/dkUrLD+jpQEENKdP6XTiQkb7jBRrCzQ8RyU15al+2w6tzP/9kJD+r8F7bBSvNRzvFLB4m+UVSQpRA1Rxl4mQiE2+NYmy78E6ryNMe3QpFt4IG00Iatt62xBRldiVkJidwamPP0x7UI5qMoumINgHMyT8Z7cmMGnmfHqJdNPembEyJBGmBqOdf48MJVz+mPdyG7CLIw9yV5h/tFDm6Ki+LntZG4gI52W+FwxbQdhbiZGJe6WQe1A7Sk6s0aJog2Z6etQXaSsVrfF4rHMe0R6PTAj7SnN10Xll+mNXlaRU+AgLEyX5Pe2+GODlAV3/yIKJpag+1A2Z8xfjmJLnGcBYOyPBC02riHTJ19UYXYJcdRlsUfE+b5/UkiK0FVGBOdEV7Mo28JJO9HkSCZ4caLT8KakBXPmcEEHgzSKVxUoGMcvCCKw5sIPLKZH9Me1qtJtmBDRZVy6Xk62dl42qYR9HqF0jenhXOJ5MJNZJkZE/uRQkAbDgG0XuJbHQ3aBTdha8YpPdcGfGauqRZHnZhuna+cKbI8vHZlmTmrCx1bcpEemo2TrPInkz96rffQIgDH4rheY+TUfGBcPvvXuPrjOjD7+5KB8QuLJOxWawno6mrx8kuISBE7kq6kyVNuwEi2RLAehrJjPPaXt8em93nZIwLRxRnmQzfn62wCyAyGcEN+we819M+vk/SRCbVpCc76Pld+LQLDJzSN3V1+FLkFg4juRV8G4v+xqBvFkYlc+xiuuedRrFjjQ8zLJNBXJDvJjs34aTpeFY4LxC7sD3ZK/h+oz2ZjiXC+Ml9X6i2xLQnTAm4TmOl4G3VZC2Vr104JAG/TA73UuGlxwFX4hpfr5MhW79bu1hkV1VVXVXNKYyjDnoyGfoUcTLKOpLJtFxGYx2fwL2RyeFmd+XGdN36J08v60Vmi9L2soB/jY92JHsVHxoUemt8kCHt4v2e9nF+n6ZleTpK4Gs66PldICd/9+03QpncG8JRT351CI9yS2EBd6sbzy/y6qVOhcyn9qoCczJqQXd+DyKvdoEzPmGGo6+MzNeuFsBmAz1OBiKTMupdrZ5jhEPytBZGQk7e8M52FHaS0Nku6uH4NF5U4/NOQLKejNjskMmQIdTIg4h43L/t+82gu2UugTU34JfJfmUU1/h6p5iBuKHYh9Isx1UbVt4EyH90y0+iwF1Uy8tu7XWHTPaiRtpFsETUiJNpMkJhRA8hcpgPs2wblR7Ar1149WQOUkwOZ6wnQ4n5sWWXUI+wHG/nRZs9Iy96Oa2aensjoUb9ilDDTkbahWjDnbjocTI6q6N2cZDfxVddOY7P0SWgBWKXPfVk2jPinfFRiXByxy4PRdENPFveMXFRFM/NaOs2x5yMejLtGSI8yQpHG7NQa2MrHMvkAzyIrqxZPv2TyP4Zn1cmC8GgBMUbzbH4jFTiEPgsbE+Wed/yUqcmCn49mTKIJ6FGBsJe8EVoJ8nk98/4BM7G8o5i+NNlOyDtYk+ZvGMIh+f754xA5gHeyS4Bcld0Ncqs0WhfmYydjCYjDzjjR7+LboQQoE520Ik5UTrO83EG6Djw68kk+HZ4deJ5bMjJrIySFQ6VUdoz8k0Z3oRZeSl/o4VvZcQrk80TWGFF1QTtAjmZDsCnTnbQwCcvuUjAG2wLwi7d1T0jt5AgoVidKJNFT4bWsxMwWvDRg8hpUKa2zPwMDSZO9stk3pHq0y5ErAHzEs+8m8htvL47+YXCsIWedgFE9spk0pNloAaZTLYLjlLlcwKmZr1srNsimTPYANGjK2Ljn4zS+gftGZHb8JOD7+77tYut/n8NNHRAgo9tF4V3xgct6c34yHZBgo+dgF1KgD2IupKzsqxRXLzd0550COJkQQ30ZMLz3Va4QsTxMJdfnSvrFqIFLK6SdsHIA7v0ogSgTEZOZnsibcxAIpN/8joebNtod/Rsc7StzSuTqZORf3JvzwjHIHIpgYNmfGc6kzK6DamDp7iYB486mho3pO7pn0yCj2UyiH06UoBlsj+aFmlQdVl+2VjxCQG/TEYDIfsn9/aMYI/broYpNges8VWJ/JqTf3JYJnm1Cp6rosi24daBk/1DOLELTp77MhnZxTue0+4nLJlFcVOeOpQxxCLLZL+ejP7J1MmEM1BCwDsPindxc50JLVEmz7MiiMZ1EI7HyUa1Y5nsZRcSfDS6PLB2gezyG5sFCoV/R6rGw62zUesDqoF2t2/doSfv5Z/cX37snnk8xNP+sUqGwwQCigWR+nlelEGoAZAd+O3JyC4k+CTTaUNzNBD12AWUfNYuUE+mEuutEFenp3aeHddNeebizu0nk2mApk4mdMX5B26WPYSTpc01rr1L3Um6CpJsvsy+fN185P1i2q8ow0M4PN8LWUXNQjHs9bR342OcpVUog7eqR3+1wsMvk9FAGCzh4IC+dgGdbEGd7ACZ/ArcfA/C6yK4Sc6ajU1jh6c99MkpetrTcaM04xNGcgkB9oVD1yAW0MTJi1aFD+syK9pl1uHYKnK9hVT4yiyT90PtFeemI8I8FWGs4TUv79sLLn6yzFwEZBBqEwrPIWTUdXYL0qwOJguXUNhGZRd4wdsGS3h+EP92KQH1XN3CbxduXWjSNOVFS+VMsYtijdrugJ7xoxYuXUIBSyLMyLTBpQQsTfaFuBHR5tIIWSb9JBYuvkpMUKejUT5M01FZhGEs/wQelrfqyi3/JONSt5MHLdI79N8yXCzlX7zQjO4ttqn2Ni1zD7nn22wYLtqrbcZVJrXoTeFyISnNLMIHuSJvi0xU1kW7BDiSHqaP3LYvsv8UhTbVR60tsIVaYNERdDfv11LF2ab1v+RcWpoAHWQPqPOgdryKUF2aIDbpWBU8E4Rf6vp+WNV1HUbhU/j7SV7+/PysyLWgFyzYa0/bf2F49ySPPD9JUjC2uxDcTXdSg/61Obl+YhMu08KJPCOPPMm9d/aCPGNvkZ+JPq3/TZCMi+dG17ObQF+gz4Un8sanJ2W5R3m7JNuqNen+Sf5OLp9o7eEisnXrJa1A79R7FfT3iRbZ5+XnWS+9kZOHaTJO7pOk8ygRiJsoKM6+NVeBuXcuJaMu3PrMDihT9zVprNPO5pI2oy5gq3bYF61NBxFb3I707fWpWXZefb9I8j62BwFJqfywTL6NpsF0bquuhuMmLDKNuyrghgtX42a+os/LO91Vm5F0m52urLmqzU+30loL1z+sPm+bOm3Vm02z3wTFZh0eJiOmHCf5uJ6ur9I8c0aiZAj+KH7nBpri8ugCM0YeXbyhXX22C3kneNprwPG8iMvU6gug+DyXF/kWf3kn6Mk91HD5kdZ4cTJKQfXfCFEzsht64AupwJfvPtcNPxsVhp3AURnF8ZyUUUPNwj0DzPBe10nzE/QOv6f9i6hw46TJ7NSkU3zctszUPdZHDdpLqNEa7/HiJxtP6JYIaXSP02q/Mspx4dB2ga6TPK1CYx3bLrye9rRoE5h1lUXrqzKTAWmLTeScu4bO8bqvwnfvZP9kWq0mpfkWZiZvhur6fCxa8R/QWxlBTkZxwVY4WOMJaI1nl1enSwlQbFnaW02MxH4X9rvM1zIBrKJvG36NHY2HZXuBzjmckd8F2S6Yk0FPPmhvdXE9isIUJ3QO/Pbkk7087Tm0Kx2wRFFnecYH79w7mpZ7zUlTnm6Zf2sp3zg7sC8ckJJmfMTjvfjJh1jhvKvVuJDmt8Lh9I/3jHCQYhrryAoH4wHbLnAhlWUy+cJtqfd4lp1eufdsOdntwCe/C5l/dAj0/C7Q4RQn+QfZk6/U1BnkX2wGgbYY7We76O1+Qk5GUxdZNXhjBslkDIi6BycLrM9GZbvkF7rZ9rBpXzWlc0bICtezXSAnI2ccQuSb66YoRuoX0INe/GRgS+JkdDjrhxGE0YVNXeg6i+ziP+3XH++CzRW1c85YVS2NL9yd0q+624R68Axy8rxH1+5bHOR38auWcZgCtzgg296e9mQ0dYleD+zSRm5poRdGkFarSZ9DtiYi+3c/Rbo/216pRuNhsok80wu+iAdYCid3mRV5dbJJ9p3RtFowzWvmi3mPk6FPkRVu18pIx6/EycLwHb5+wTcg7YJlMmoXROR4FRTNqLJvKyAamnxyT4ZksnQ//OTwzoNkshfeI5N5ZQQ1/l07UpFdMICWN6gIy2TyT1Zsoi8imRUReD/P+HBphrd98/IjKz5Y3ZGgx8mgJxMn00IabvukWJ3scPZAMhkIRvxKA19PTwbtgpb13Pf/qdvTpGrEBpiXPmzPFw71+aN5dXqBtn2yTPZ72qMySl6dKPh4OwOxy9I7x/ZzMhHZjclRUWZFZID3aGWEtAtUfGYL4AySfqT4vBWiwqyq7fgA0JvxQZ9i18kd2kVHPZq7CvJAZNSgSfC953QGsF1ko+on8CtzMpCSZ3w9Fd6lBCjzVijufxUU3moDxC4kk/f06qTNkuRwxntGcFpFcxZsFpHfL5NBeA00csY2N0WZzK7TvRkfYEMf5gAiry7LoCwfyO+ihZ4vnE9PRpFIkcCnFDgeOVmGRJDJSFeyXex5OsNrMrmFWCSzPXFRYE7Hd9Ia744ZH7zzIJl8lny5PguSP2d8xC776cl8mAcbCOAj9cNtu5QAe3WSqoHY/GeZbGEVCZmv3PfA4WJOES5xuKAZVI+TDzj7KbwfJyZu1xUI/DLZq12Q4OMZHxrtp149mSUEcnLv7CcfkQm1KJqHTXlpmbknkwEB9oXzbgI4TE+eycvnr8Qu8svk/fRkNnVOULvgcNu8McOlBPwZnvHt2Me3CmbCzJd6jaywtBaKerJIa8DmOL5wRqahf79Ed4MBvNRBTyajnuyzXfT0ZDTasuCbeDiZBN+e2oVfJrdakGkDYTtjnbRY/iJbk54sJS4hQB/2/b5wxTjPr+X/cAwi08E7ZDIJPhnPiV26DLkishUuvoMSryDZUyZvSnQAjIwSN4qq8TA7sc50WyADIW8CwMx7OXllCnOTLoy51Ei+PfDL5N/ILmS76AX6ATWVlFHvUWE840PbRU+7ANT4K2Nm28lmLqq72yP/TxzAV+77wrmUAH3Yg2SyM9q/EoMIBR/ryf4NzGi0JcGHe0Z4dOmZZICtaY0Pyc+cjDKZh4tO1/nejNTPwa3Nj82AtAuXEKDlnJ5MPoTIvs2StJC6w57s42Sa8fHKCMcgAhMisQtxcu/sJ5+eTJyMM9N1VZYaAcYCLWmu8LSt3nYWeCd1srdCmA9Ps+EFLcXGVWUC8xhVZ5sTmlgme7ULXBmRObafk4F5iZN5tRqIvGPGhwj4A33NvzfZ5WYJ28VtbGEJw8XOGR9opG+FMCvLDAxuQXBTlheZCdZlVo7ch/Wv8ZF2QaO210Ag0yqPTPavjLzZdiFA5qpBYOqrs7LdJA+hdvqKj4+TD9OTLeAWs2n2M5iNz0SQBEHtInmwnky8Q81CcYEqp7S+o3jPP9m3JGwKnPH5OXkfmazrSvOgzorCBnwnRQEX0nubZUkmH+B3YepMOBZ94aKyEtY9NffSqbpw6z57MmkXNPBhGEnSLmTGh1obcDLLZMz4tQuWydjJEE8744vSiy/xaT6sA6hs9gPx9FrhDrJdxMOkKU8x0NMqVU/7xmgk8GLcVk3iYodMhsGSAqJK1wWZvENPhpawnozMu0MmUwbFhZ2Mhuk4aRppFzR3R1w4kn6HELlJtPUdBQRELsXXcaCRwAu32kuhfYmTI5Cv5GkvTOFSCv5pFXvaw2vY4dCrXZAW9ITO9SguRNfRjCnqZdVAvAeB/VBbH+Jpf0YjrQOTVMH8XDlZFLx1HM/TYfEUF5Mo0pjlv5e/I42YfiJ/NlHITyINhx5Onm3OXrMlT5qRIpvRZ+xtkriThzXw30lbgfySnyf7fCi16X0/tETuaeMDtiX6sw23ru93CMg9tuZFi4j+j57/DAuvNpq7SqYm1qLQVh3a29x7EJs23rtctX80kry9HmIcwP1gcZHcJxfknxwEpdDXaLj1L+O7oBqP8+vhOB9f3PzQcOOLicY0d8HLbyddSPLbZfjQRjvXQi25XW4y4VLS9IwW2bR9RIrkJ3zQEndbGELVk/BBHmjvWoQQVF0d4/WPzUhJW62CPLN0VUn6YWIRuBUqarS5r6FpaxekBU+blKddvPj2PS7TpnV/gN6m/6G37AfOn4kmI+ojUJhT0Szq+6n0xzC8HxbqTrtS7/WVzD+MeTRrGzs9itcrjU3+TYvCUCOjm/Vjm3mx92hGe6tc1ge0ZLGS6wObE96R3/KE/KxeNES7ZvWXDDUrI9XaXSCD5bM8I1VpbXe6tWRtg7xrBU+Clqta5h+SEWT0IUFNEbDh1lvU5K4XY4JVVP0fmWfPbXNkatS+cKUGyRebaWvT7Sx6i22OZPSi/B+ArNoTTHvigsspzIssjL6ereJ89XJ52V5LO097kXW+0WVOpk4cqHndnQQf6XMoeXkUxLVz6bEuJbDfwMfD8ItZlFnlhOw2Lty0aHC1tYfaIQOfDJvVWXUJSuC38jzPx8LaZxev70j1r/HhGo/wDnQr1PhFGe3IL9oFZEhPvsEMkt+vXexADTPykezBzhbBTci6Znw9vL5Gunr1ubdCLAJ3PEZfuNlU+4i8Ym62tnz/jA8NBKwn+w/sx7kgb/sk5iVPeyxh7YIUNSQlq/DAyZKR3/FpWekY5lBzznPX3XuErh2edHzrW6FKgtMr4yIoIdB5fHvO+FBPpkA/K1wZmS1gQ6gJ6YxUJDJb4YCtmeIYucWPGkmyVg78XZVC5uDO6smh2w44LLdYy7fA6f/7feHmTRpcNq/6J+M5EzTjo55HVjgSfOR3QcoozgV3zPj8VjgS0ERKQg14nGLab/0u4qZsosjK5i7K8Zaw9MkPsl0U43CZ1vkr9mTsHzuscNhbeQMzyWQ2ECAnY8a7Z4TaSA6nO6JpAcWnaC3q/C6is0yZWWBL5O48RkGtawExw1th0MTBWbo5TwSgx8kgk72Cz02rWiDvin5oV0TeZwYiTmYrHHIy8qsftRWFkQQE7poy06LtZrsuXKUMw10LDuJkC689T5zMMtm/MoIymRzObpddZo7HfPRkso+Tifw9lwAI47MDNVwZm8D3f66FmUXgbyz6neDsKT6vEWlPuGnm4f35H2f9CooTmKzTygjbvVDwkUzmUAxs6nIpgT1lMo913rhwLJMhQ4qP9DhA7TGsRtlkFY4sjTtGFtSgkx20MnKVB5d5o2pxD/wy2S/4UCbPyeEMTV3C49h6UkZRdqB/MpG/52nv1S5QkNDh8ISazPGKbFQ9BvVV1uDY1NsEcICnfZMFF9Ue2oVPT0a2ppMlhXogk+kIBFpIJSdg/LDsn0wyGe3J7GOKGa+eTK7TVvH5fXbftBhCHzExnM5wmHZxnozj6D9x8r56Mg1C5GmPejK56dCqmtc/mRQK/8rIjhkfKj49Xzj9XbRqBvWrkLxADvC0N0UdB4MKuqkDv568Q/C9powq0Bof2y7YaAvvpD0jfq9OIiWhRlobcjJtWtnM+KMqbQrB2mYsUKCvg1ZGvEDssqeejJvlejIZV6t7bjqgapDngDcGUc92gRQn7YKYF2UyqfAbvwuj82zYyyOooXZxiKd9cZFcXPTtyQp+DyKvMtoTfNgSZAq5zaUESCjwajUOfD2vTkDNz8mkJ5MKT5HAO7+Ll3p0+hPoihKC8Hwr/G7qOk43EQsAiF1YJnv3jPTiXYDgowiHPe0CPV3Q8PYdM9jGHifvJZNDQI0cP9CDaGX9xl2m18kOIbKFeQo0dNDbWw3aAQ3hKPiIkymodn8rvksJ+PVkjhJAdEWZTDM+r3MTyeQZOn6Q34VaQLdR3YmuB8lktfWvV6+cx0f7+Pa0J6PgI2cc6ccd7/TddLBPop5MHkR+7eLtVrhViHRFX7ggMnF2mrUPikzGTnaAp31rGEFbtQP/jlSvnkycLLzTsQtvlvOuOPCMD2XyQV6dArQxi1xY2EAYRqJvydREy/2d7K0Q53mSXPypJjPv7KknozJKZiDytKeuyyKGbBckoBeQ8ctkv0sITUZx5OXdb/b7LxvLzL0ZHyDwDnh69Rv5d6R6ZTKzCx0VhoKPTzFDupI7O+0ZeY+e7NcuUIecY6An+f7KDPMiS2tDvuIH2S6Cu2Y4hNCnWyBT13tkMh0VhjKZR22OOovM+4691fsZCOe4uZdOTNrqHToAxr+7KGeCAIwQb4UwT8r7PAVEHZAV5n0yucvwxgyWyUBXlsmoXVCJP94Fy2REjVdGiJMBm1/bGZSVzCS84J1vhepC3heN/9zH5/e0Jw7xCj7poMDJKJPZXMF6MjbLO+PzW+G4k6Fyh2JNlGaXUOC91R3Fn6pur6WidgCR24PsX7PCASWEk316MmZo+YGmHCyTedsnaG0HaxfeTkbDhXzYTnixWYX803+elvXmtQfpyfW4DsxZb7OkIv6oHefJEZ9tF/7TGZDiNK1CmbxrZQSJ/I4Zn7+T8T4+QID0ZDpSQCRelWZF27kEAWjOGyFKh2kyxBNz5nWZNEZGhzQru/jJgAkhT572yMki67qW8O4n78oIscueMz4KBUgymSejtDKC9mTuZMjJGjLDRs4QOEy7MF/Ozr6A9AyCH1/PM7lwmyTbeTzJ5B3aBYoLv57Mtgv2T4Y27hkXDrUL2v1GVjhcGSHtkjhZUIOxQ73BomqUqcwgU/f74A7QERjpShdGViY9eT/tgveMILuIfHQpAaIrscuO5SfkZDxumFFj5yZcSEVS9lR45GTbyYzuzxaePoSTX7J7mfH1ZHIqnDy9KTPd2GCBwq37BR9lUFGjHanE8PJhgHdIJnujzvZkMryT9DlvJ7MbSLbQi0HkEgKCWvu3Gp3W60eYm70ViuFlUZ9d8WdKG/moRfkUa0KhtJ72DjPSLlBPIk7usfUryFuQDPIO4MHGZb9XJ8iB3icH1H71NgFgJwNsRLkH4bXB04RX7owerQPesC+cdScVdzDSgVBDtzeJMTdJnp4Py2Sc16GNVi6gMc2XDy6zDZGuGXuH/Fto+sGFKL8NJ4tw2YY3X/zQEqnA/dMb9bL+l+RC/tiaXUazWrmk22Dr8kvjpbdPS07vshHR9S6Nqq5/7b9w0iIgZQtJdQU2RrytSzJyVxcwXitbtDdK9TbIu/4xOgGsIhnYLd5vI7Mx5qxUR+c5dB+B9FI+aiWCuUpWQTHKqvtheZk18mkVB/mxbbZpabDD/kFREiwESVsg2C2E/nqHXtIn2mItkiZrxj2vF22xPiNPtTUv9CZNukxLXHurPuaekuf16qZYfzl66RX9GKGgZp+TZyyeek3JqBdbRCSjhVKkj9tK5X6lr75H/b/1wKmJDS0d44C+BxTD6/HwHw1r2ZPJKiXucyGy8LlWWapM1g+xmk9V8Mm1WSBJI/JxM8GXD2X9k0Wca5+ypi59ZK5XwokezSk/U/klJVKB3reaW9uFJPS6ZEQO6PX5VEp0miJJ+8hK3R6kNluJBvqStLxGslYoyA1Sl5PJlgaS28gOLZipdqnYSP3zjRXOVjx37mRaOA/s1j2pVdspio8+al8kZUV52k5N2mr2hZWGYrjI8/OcAj2ZKNEj7+rqd5GetZdo4KPDoVEKiqyDEjQDkcOhlHR47ogEjnoyHfPBMz7SLhi1lkYWSLuggQ9VeDKC8sascBU1ZYkN3B+MbRZsvZS3Zvd5OVmZKtkumOzQk2F0meLgPl/C5Jkt49jhRAS5niCww3axn3axQ4UHPMl2xSsjiKeZnHRsYmIZefXAqbfvfZLn7BEYr1jtKfAGz/hIT2abEGWQkxF5ousS6Er2ZKKrf8ZHWhvpyTwZxWk1Re5BPVlQg2fIucl2peeqLPkQpz3gd3GaFAKvWOFeHqBPku2CVTg0giGKU9KT6aiw3o5UkB1kTya23o+TOYOCBKfVghp8f+LkHjOAgdC9U835NrE3zIrkejgej69fPYGdiAxWOLKMI8XZhByCtyx3Q55/AClpXke2i/es8eFktIca6cleTiZsNpnfV6fwjv2gyReLGFHbALHLfjKZjDUyhgC7LIDiU4zp4l9I45URxMZvu+it8UEnozU+NANyDKJeUBmorZsA4bLYfwZThCJr2uRmV9sWen4XSOQ9bReoT5JXJ3MyNgt5h7w6ex5EPpnsXRkhe7Ig0MmBKUsIcEXsTN2meMVZcE8w5VjnMbpz4h51NAt+vwu/FCSHs5g8iOD53lZ8WuPzieF9ZbJ3jQ+PQBGZDN+/F6vVpQS25/Fl5fUwz/oE2hfCKh3mF0k+HF9tAuFswe934TXa+gXfrmhaoCezFW4//2S/TCbtglDDAL5z7GTSAvj+7Xl8AxuHpDt85+2wimuB4hVbKcVP5jU+nzJKx9IIviD4KHB8T/DBEL4k1RjdiXZwMlB8h54MKhyjhpwsUgW+f4vaoKVxb//5ccCvXXiHcDqWJvjh75MUg8i3xscRDr0y2e8LR8MFH3pJpm7sZOwSYk3d281nr4X+PxCIXVgmewUfetqzdoHKqMhklxLoaRc+mUzk3yGTvRlWNXH3G7pO8+kc7aJN42i8OeHomEDsQjIZOYSQJ8FHcqC3Wk0zaaC434PoXTIZMnx8K0pe0i6EM/5Q4UNH40M4+ek+CUN0MHdA7LLvGh8IvjnNXVG7mC1gN4n/SN29tQukuBc12s4Sk0wG1ITigFrbyYyj8QEyORbVIi6uf7hsBz2Z7FvjQ5FIkcBpRyoN4bzGhwuUJBTMDdzm94XboSeTdgHfXzpZR0p2ncaFyc1wsWyPOHKLRO+Bs/t59iVIXjEQsZsWymRsCWamFE1rwueMuISAX6qwTN5zxkfY+IcL+P50mgh7EPG27+eW4aM0Hyev+QvuC5dlcHnz2gFbfl84r3YhfICZRdcnWU/mIRwkBHHyI9ouerE6fUT2otb7sOgLiaiRHwMpPgdBkdfZWfZK/OR3nJgz7Z1i5lIKKIZnNBmh1pO4YHsyfAv2hdtvHx9tZ0HXWVbhWU9Gl5AHeOdbYVXlepKry3XQP/vJpyfjEC4odhnamBHEINN5MsJGWyQyZvzaxQ57MpTQt+z5XSA2NFzwMAyZt4PJXtVN9j0xB0dtPp0BtDbhZJcQmD1gn5wgu1C8CzKCYr96j55M34L28eE8SWQHjBAsO+Cdb4VIFwfjGljDQU+7AJmMHOIXfKQNyRDe8Y4IPuiTuMZHkpdPMcM2knZBpNyhXVAngwxpF326dnjScPFWqDTGU/GKDvgePZnVKVRGcSGVt5ihY9SKtAtvvAu/nsy+cIwNZB7gk1N4pKB32q9LCRzEya1/8iunHvbsyT49mV0noSWS6XoeRW4hp0rh5G2z5j09GTmZZfLbbRfMyXBGan/RBjnZZ1Z5K1jX5OKVM5UjVHN26Mm0kIbdkFcrYWXkFzpVEieznvyO1WrqSlRCMg5Jyd4KKNb6rtPwzBshSq/Lsm/7eJJe92LiEhwO95HJPXsyWmE4cgt8P3ZuIE7e4WnvI7JX8SHbhejJIMnYXOXjZOpKb4aXujxl00Wd5nrIzF1a16duZXZPmUxrfDTjwyG85wRMoyBw8iN5dRLzkp78dtsFd7IFbmdhPRkzMUR9egeAWLAQFhpwNsgg3DrpyXsqo8gutFnul1c1ekQWpYHPHyWAB1ufWaVvu+gIRpHA5+Q66+1kb4KbvLlNLvQfyqUgKLNpMFdKF3k7xLxjja8344OhRvRkkMk0WLL6T0ozUpxHQd8OFuZktF1QUBnsZPMl6smkwr+XyNN4ePZcZqdZ2Vu/SoW+5lwEcpG3BX6ZjA5nJPhkxgf9C4dwaSN0UESehnDyu1jHg+4ZUnyIk73DBX9LPHyKUJM5K6BGk9H3y+SB0TORTPALvqyAetqvxo2wuotpT+HWSfANfM4NMoRDSzDeBQ3u3HpsSS9WJyJAMhlXyGmXDpXgZHRO2kUv6jChBpl3iwuBxp2/QKD+yaYNtx7ZwOSjYSy/5YtEg8iEP6I2WLnmNLK2S2NG/oahXGlh/bgIjdysP99eokmbEZA7bk82j8gzk3DziGTaEvvUWmpeu2RknifucUUp7DKP5i4etPGgWwQImy4zeAhftrcN5Cu79MsgUjwtSDujpcsMooGJFs9/b55xVNofirzQ55jSo2wVTC/0CIzxk8wJ83w8VCfbunVJD8PwVv3cNd16UC+se/VSMq1bvDri/wity3p731Kd1q0//GKpt+kN9hl10ZY/9r7FcvFgq3P/rMO1q9D6ybfJWG5eqJ+81mAz7pbFonXubjNyUZ53ufY97j51vHcpLdgkpT7FUwqXboeARcCiYEsWdjtA+Kq/1W54as+Q4YEvvZI+1Vy02kX0FMxPZd69iub2O0ahcvUGnn/YIP0KL8Iu24zcpvH2N7DogvgLwy9dUoFuW8LzUYwl9hSBDdiI/g5Cjei/AarsCfH03waZlwHgySXC4y7ZRql9E4TpfZIkFzguDcJcTzAPk/hn6ZzA0yGM9DyEe2d8OPMn/1S5zSUERPC5lIBBYUtSkEooZN0LWlQJtReccCNqhABb4XqowSio/snvhNsYR4cW4myUnobz1U3y+hYznruikk8tIf9UHF1eWxJuoWe78FGcwojSV+4pPpDpfX9ADbULRg1dp2nkfRvo2QyvuM0q9JzAQZ7wEA5tpOWn2QMyLx5Ey2fJ+0/MoTU+IjI2mD65dzJKqLFCid9/hRlynSaD9psgyvPsMj91OQZ/rE6eY1HG20HRdkFh+ciezJzs97tA1IhfaTJ6B5vmpzj9ox7X90/GT05TI3jnmyDUAE9NAppuB39js/b1uwDkiSn60yqXEjCT/TyI3rUyAg3jT47bWXp7q7168nuXn2JRIILqNU1ZWuJdfvKyi2DVldD6R98/2aUETEzOLfDOPU9gp/UvksmYoeVHcivtyQ4aLuAw0ffbk8Nx1jTlOLt8xfn2Pf7JNOPDBUqRKi4h0IsSQBRHIqOlcZffBVCcOxmRH1HDrrTLg+gJOfmdRJ5v3bx6erKC3+/Cyy68dsZRAohd2HWyYxeSvLQyQva5HVY4zHhN3XP8yn3bBfYrkBDvt12YIi5+FsXPm+JPBZuIfE/LT3vJ5P7JktANe/ZkZBdka1wZod7asycjNntF02JO3uFwShR/xYf7YPCvVlNLkJFoY4ZQvEORA/2Qc4tfu0A9mY7DI9SIlLQjFXUdPioQOZn9k+kg4uPYk3cBCT6SyXc48HnHHbYn40KaIeeWia+Dmu94G5b0ZDJQ3N/JEDXi112KDyHwEUTurVYjJyPyKPh2eBAh8isKt47swjtScTLCejKitt9qNWsXFImPFR/06r098QwXR4OeLxx87nAvmRzQjA8X0vqCz+fV6Z1WE2qEgDczRbpOyZKCnMxiuGdP7lpwNOj5wkF3p73VXr8LGs95COfdT0AwksmPaLRnPZnCuNBXxgxJCDzFjm0sxMkkIdrdTy28X0/eBf7JCNsuMIOjIEfT6p3A7lIC9GF6E1mffYamfztWq1GQIDOICgeo8YzvAX3h6EjtA/wuvODXLlDWUaa37RMHlBhUY1r988+kSVz4TzHboSeT7QpRm8C+U1bhvQbCgyIceoGG8H315B9dhvvkAtZOp6wnk+0CJ3msXSCRmeKIjU9PnrLDKSBAUWd7274RgUNOZ/CCf/eT3+/ijjgZZB0LPiJy/Ns349uhXWDGy8koIfqKT4cAuYQQ+eXDds/QVz4a+PVkapa/jeTOjrYLkcnILhjvYvmMbfSNOz0i76Mn0yaAgKJE9PRkHyd/CJH9MhmZl9TUnsMZ4NtzAgbeIcFHpNwVCRxQI5ns15N78ZOBk3coPv8zZTIaCMjUiRszWKHw70h9z+4nX6a3nQU9iHZs++bhorvtaNCTydDd95tWGfIgQvWfd2kgI/GMb8fuJ7Qn01emDMlkXBmj70/Y9LZ9dy34ID3ZL5O9QzhSfOaNaS/sAi3xx7Tf0z95R+QWyPA+PvTqRO2iNxn1hUc6GvjtySQFySZEWhtm+hszXEqATIjELju0C+Rk0tpZT4YMiSg2Lve0C1Thga7UyY4GL9il3iGTVxPQk6TrdpnZA28x8tkuMBI4kZ936SACfnsy7eP7AV+ZtAve9n2cNb5dYERAhBqsWmGHngyCr88u3Vfi0xl4BwPOP5B6a5rxEV3fbrsg1MjTnjrZlDvZUU/7fQ3m9/lFvtm0vaee3DudAQQf2i6mtxRUgjZmeGUyigu2Xey5IxUypKizdsHLj6RdfASRTdrUW+ueX0/msQ5QnIY/OuRZGfUbCJCUrF14OZlk8n6djM9jRO1CWuBSAqS1fYw92VxG6+2HJJnsP50Bh3Cyf5N20XduQIoj83q1C//GHH+GiNydcyjQOzGnu62HGuycPBqYNCuTzcC7X7j1fngU1JPheSlxCQH/QhpnSLvAlRHChjqZFzWSZGyFoz0jJLw+RFzMr16CItGgw4LQSIlsjAlmq9kqitdT+WM0urUaweSq/DdmLshLya+Z/syUD+Z621xuFP1Tn5Un5mYlo4u9v/2ZnNg/+owxi2g1NfKs/qxlLqC5X5KeG2Fefbf+m6t2ua0gCrV4JSkpErpqQp4SDKXEoSI3PD8o0rbiqaAmNdu65G4ZoO07tBFW4NmHFG3NaK36vH5lTVpwJDocVs/zIB7e/IqKLKvzYVZlWRGFLla6gPpob/7YCNoK7W8NCt7G0dZkCwt3WfKStGBv0AsK22dsqX1MA3W3907sG/WGtj59jZTIH+tQLlc15Liiojd2z1nQmuWpLWpS1P7Yy201LiO/5b9t4wb0ne3Nm1tQ8BwK8TgOHv4qVqZOknQ8TOR3+woLiw1ht6gpKDK2ZAPa5tuJXlbYtF7/Lzd32YwraOFhUx3euQyf5a/8uMLuJkm0z7oabYktVfd6xAaSAopbS1+BTZFeVLCR9+0Xk69ia7R3aCI+IpFv8nVw85cTROXQzbGk/1hZN1VREKymc82sVCzMVq6zyT+9yw41cpvetdLV6rktm87bIXwuFUiX1HV3EUi2TDKL56mUaCeetlJQ6tUL1glc79D46IFqF/ZxKWwztmIZpRQbLVm1JYKaRWcezHWeNNfaZvKGFjW5rs+oTJanVzNB0+rJImS0ea1LgD5vUVveqbiYSltbShwFpk11tsc5I+TOztoFPCIzPpdQoFGblSYc67yr1bT8SE7gNOP/jS7J1MkxTMGUlskIGz4jFd55NFjFp120Eb/tAqer7EFEkTswcssvjISwI6a9NxSD34PIa7sgV4sVorYi2wVNRgibDyEy7aR6R1w44WRQLDFyCy8/THDGR5FbiJNRhXuHPZlD1rGpm/VklxKw2sUGCIGjQc8KB5h41/h+PYG4EMmLnMymrq6NO/Tkn94Zn9eeTHqyd8ZHnMzWbY6fjNh8DCd7tzMwu6BMJlMXGe17/skuJSCjCzbLa7vANvrtyf5ORlECOFYn8A+PEB9vhaPdL/7Tfr1GWwq+xrYL8k8mRiLeQXFBRjCSyezIiRksmbEkI9RQkvG27w+3wg2Wf7uUwD2ZOveyJ5MTOHl1yvgI4oL3jJDfBXDy46EyGRUfGhRouCBBYsI7RO0jiLxnDCJUNXoGAhBv7NVJowtyMseF4ygBSNf91vhouCCZTFoQdjIZSFB4Qcm3jyDyfMeeEe/yAzZLSNn1PPLq7DmcIVvHd9BbD17jw+ECTd1TjMjJgb5IDKOAXuPOyaMBGW13rfF1WBGHkJtOf2OGSwmYHzjWIfWIrr24cJAhezJFbkFfOOJk9iDDTiacDF+ZDhP9CE5mFW7XGh90XWKXnj25Q75vtMVpFYrhGxDQa2JemvEhkf0Z72SEVkYoRrzM+DyKz9HA70Hk1ZPptN8VhkfpeXUiJyOHkOSlGR/b6b0zPlJ8vK7TokN0Iqq3IxVXxrzOTUcD/2TEyy5TPMwjoH1cOIRPaTsDtp5Xq702c79M9m8CwE5G4Zx6/snEyT7F52jg52RiF5xWkZuOUA/6JEWdpckI0pVj2qN2saffBR+whiX4LUVcdBniZBHdKJN9DqdHA2KXnkz2rPH14yeDgQD9LuY9mexSAsy8e2oXOCjscG7iTuYSCsjJAfsnkwfRh+wZYT0ZDUTfgXpk6kLXSfKnZw8iXkjzCT7yIPLHhWOh4Mv0fOFonkQymTj5w2XyO/ZWT3cEX4Pne5slydMaZTK6zpJyx9oFxoXbz3YR0GbZnlcncrLP4fRY0I8EDn2K4ucyu8CoLUwBDE+cTBKCpn/EySQhvJxMWvt+fhekQ/TjXUALMIDBx/jC+fVkGl2IXcgKg9Tr7+PDBsP5rD2FwtdbRSZ3tbFMRmy8qHEYUYrLgZEwhJNdSuDf1pNp1N7hC0cx7YHiPONDUhK7DPxWuP38LhBPg6Zu6nHkpictQJn8b/snIyd7bRekXSApaca3K94FymTa/YTY8I7U/ezJtPuJOxkMF7v05I8gMimjxMk7nIChT07RTk8zPlFGXUrALxSoWf4dqawNYwbZmjsZDnyk+ATe7fT/c/aM9FaroQT38VEbe9s+USaj7QIpPu/tSPXqyahQ4GE+AS5Qk55sQpLJRPGP2ZFKnEx6MuBL7MJ6Ms34YFot7OISAiwhiJNxjY9lMnIyfWVSfJDHf/kno6hdiCBBmQzv/BdmfPvqySSTaSENnp/eEid748J5Z3w7ogT4FR9ArbdaDYpPLwYRGQhV1YAKjwKtdjEvrO+FXyYPQAMjCTF9Akqw4ItINUJODmEQI0978wQlzMkQjYlRi1A5PEHtsjseWVBDTg7uIMQFL6Rr02YNNuMI0HJyONbTG3p6MvZJg1N67JOBAbKQdhFgjFsawlcDLEFODrCEPIjmfwNX0nBh4C6e8RlYvmQ9GT02abC0SIdjjCN9BGg5uRpeaobEBbFLA1EoDe2cyxKXUkDtIkg0ZL4DWkiL8q3PkpSgFS4cd8cRz2msK1wcbQs0XDBqKJMzF6pfgbezMGpQ851FLRlC+REgWgiRz4bXlrp8zD2e/dRcACYRfvpLjey3AbQnB3kDDQ7Bgz26gJMFiZPDv366lMAaOflGozRugMQwofbbixqqmsHFZiuSgKDWPfP3xZX8jsdDfMPBoAFRz4bj9pSX+yFWDXwUXI1cwgLeVSMnk+N0gqf/gUQNghQ4mSqLchDDVHJy/uhSAiu8qz0MaAP4zJkfNTzVBguC1EY5XiRHPY82isKz4fA+joufN3E5rG0IOf1vf9+4eHLxaPT9pk3a3/YGTf+8qXK8r0v+vMkre197KbaVttl4VMJ97m02XZ3fcME2E+f1Jid/FRmHgaAGr/n+H1BzufzrJtcWbB6/idNSa4+r4TBD1j8MjLlw0Q8/oQfUQw6Es3I4zC+z3XBx4RJ/wGjsEn/AuHSJP+Aid4k++CvLxiOX6EPiq+wA1JpkOEyOx8kCq9IXwbqDK+9wG6PgI8hxVkvw+vmLAlHuEn9C7pORzTtQS7yotZHni/thA4r9UaAc5jBxeA2uXg8MLFD5W+Ij5SzxnVv8rMcGvgoLb4kftcaL2oUPNWORNh9x2L0p/5NieHmOugbCqZf5zn11Rtt9xn2YoKJOUHjnB5fuTKU/YH6KKhyBPfXqNYj0bBthuuPTWJTI4fluViYzOQHpnwSk/hMUvpetcMGPwLxyenwL5IRB4EcNDyQnmFkD4fmQNM4jgamufJj+L4R15o7OOzaAZeB/PRxxL+onfML/OrCyZGb+iFKwbk0rJjJg4bSgR9PZP6+M/PZmd0MP9JqrFMG82EtR+6eDDT6zxz/Gy5e1vTT7e91HeosaGkAE7H3mZa2W5j8KPxqiqFDLlGidaFZTeEnzXIbpqLxIvjCV41Ge384DM0qSP8aQSIeVME1yXLeQNkZRWInmFCd52lM+ojJNZfZQX9yPCAFTVyfPejTbn6jN7lM1ApnmIqlg5UYgTJJEkFbUwEok79acOU0u6lVgZBr5tc83HwmzKr/WWXyVRXMyXgXzNFxV+dpk5SwsSVsKR1/mpUzRyq+/4j8mk2fXcbBK6yBOwZQqz+Tj/N4Ei9Ft0JRE/ig5m180ol2bWUX6rcn0eLs8rLO1YdSCMpo+3UdBlQbRCI2BUlm1asqXoKxXgNpslF//lD9NKZ8/Di6v5pGyz78J1vitG7D51J3oNAzM9ZdQ25fS9CKUGVU2DIP8RIOWuIsOzCiPg0L+y7Qbeex3ZXn+i8zSiuS7veTgKl0FWRFkya8gzpH8j5fLyJzVwUhRkw8EkN8ITnGkU8uMENCj6O/O4yB/CtaImtGloVBN9vL9L4QNymPah/4zGPu+9Kt0WFyeCMK/KsGtiPViyXO46FuQpsbk34SmsDwhYG6b5FYINpgHFyRJJl9/6ERAzdPh2B1dZ2FWZi+FfNyLS5ElhMBaKoi//lKySP8gKZrm8cOl3C7f/5T6RXMeBUa4VKaJJr13FwUiIXxQjG8D/WQiT6an3jn5x0ApdDKJNJzWgATh2yD+J4qFKYLskkXY8qwMBXFpOK4BCYRVLFx8eSH0zOWzdRCW5an0X+ngIhiwxKRpkZbGToVv+504an4EK5X7hRAPwOTD/CVY6mpWliKPKycPLuJBHgVzRM1ycjEW0T+qVvqWK7+t6iPAlKMg+JZrS9ypwFswSRbc6MUeJwfV/dVCGMkEMybyugmL8UI4WZ7RGjuIpJFZGTSWyFhiUulI980ssZwMbjEK9ptolyjGpMf8rE7H5ermL62UFnWUuYth+JQPghWiFimRvwhqwejMKNv4rUsfApbIdl2mvu4RWeVdrPax0i7EImi/1PNttRt0EFfBQjrjpX4YXE6VVkotZ+OgUKqNscSoYC3PI5Wg8TlzsrEf16JGnSy6iIQjzsJcxAVzclCXVf3XbSBEnqEkG6gUL5TSo6vgIhQ2/3/AyVbwXV2woqSDfbjQQYwHvkUTCrssgnMRfAmeAyiayGU5Po1q7ZD6XAeqjVR5UIicvDmH5dRgroQc5QPlu7iHQKyksag1ZG+uM8nVI7sszgOfXG5u05NAOtnfOPBZTo61C6VfAsFuNQKB/W+A9GJphWA0YjNSqLxVm9NMujR28KAZxkEl/+8LUZmQlPOiqZr8MgoupOSCNhopKdORqMlRcMaHmDfyjdNsHp63ugdCPFTN7VLwSCtELVRxVDX2UdU9Ogiz5+BS7k2L4AUPpF9p35pLU6aC9Ohr0FNXPxriZvyPcGaUjUrueM95MkqEleKk5CYGzzKI5c1cdM6SWVwgKsdZFNTpaVrTWBlVp2kqgvIsLRNk5CC4K9OyFImblWXK0iIorCuDojYipVtkdVbK/CS6L1N5G4CespnJeHwrCNg5Vgt1NkxFT7EIr0XPl8dcyb8DUfGlKASt5y9nhG5givprrWbe2P5GiOraeqn8WSLV1Wo0jmuaIwiEda31r4qaxIiA1KbENfWXfsm6de+866Mm5C9sbaF9GYK83yp7ghqodqHcrybzRV1rjT++2D+f8Amf8Amf8Amf8Amf8Amf8Amf8Amf8Amf8Amf8L8ITBTYjZzvA7PZN9o3ViJUtfVlfdtrtjWHbO3+b4KwrE1gstHka1JE97vaoct3XrBLPgJN4jfhrpJsFgiBwz/9kXbAIGldJ6Y3urT03wnxdRME9TD7dvVXGA5hleEPaPqrIwhfnFe7Llf5oB4WQZwIke1q074Qjd1aqOk7cf33QJRLy8ejmfC0W18Wxm6L9E+XNCPrXrIptXuhN5nV9GbouBM37rvSzZ9MCFxdR0EoLOnuciUO7ANbt+LNw6ldEZQHGu+Gk//poC3OdY24TsPn80ralF8I3cNc/lZZnn+dBl/yPM/ukuuxXJcrF3UQ3zd5FSb5ha6zBZEkxuMiSso0rdLISoMqNbXc2syi5DTP7aLeLK2CcjzM78NxKZfugjCVisPgRv4XeRU08uLaJHme3EzrRMoyE0gd+fW9FOf5pVmqP8V/JUT5eGzPJamHYTS+CsrrOLrPTTjMomZYRan6wjXRzT91mJeRqYd1VGtpXpgsjSIbdaAax1H9VxHlwyaSWlbDPPiWl3fjLIrPfwTXZRTbHYtGvs6gzMMoGqZRIZKpzOO7fPwrFAa9GTbmvInuzKqJnvJ7QaaR18fBRfq0GCbB/b28KphfkHPdfxE85aPLsfq0FOPoJP9qfVWi8c2P61haWouMDb9cx0/fx5m6GQknhk/1+DlUR6hs3C6vmmsRmsV1MVBhI4VC9CAehtVfcXQjtwifDsbqf/Jbx8ZyLDL5+ka+bWPGkr8dv4TnJ8FPIXKeqNZh1tFVEnwdn8hoEaurkUnSoDy3r8LF//8quBMZ0OiAV4zD6PzK+g9Ox8VCpMiZJfJD8dfX6qoqzIX6ReSSrEyo+8HWZT5WbWQ1PJfxc+iI/E8YvIyLL4lI30bujVZ5HKxzJfIgPxMiD1+C579+KpGj8ReRIXn0OxcxPWyCxX0+jE0lQiMNzs7vlMjFP5HoJEkQlfm1VG59YP4bIcy/BPNkGAVfxicn47NAXYXi61Cd/KrhmXJy+NcPDRMSnYt2caoOVr+DhXpTCX3L6yf5m4/VHfNnpJxZX4fB/HScXMoV0SF+m5lQJrKcbKMKpNdzGQaKIDqvRFtQIWVCYW6VHjKsJlkjdX1NgjOV1X/d6oARnVsnoCwfqFz574RQVTgzHj4Xw/Dkn0a4+ms8TIOlqFmVqGXZcBmkw+KLyOA0qZ+fkrRozkUmCymb5iaxDtgiQIv7YX2nNVVD+SKL4XkUfEsvino8WV1/CaJrqyCU90aqr+NQekh4nWn98TCZv4xHRSniojmLL+qrYfE9yaUTqYdYEaTjohpeBFUTp+Wq+uu/lsilugAVaT25j05KYb4mUe3/6X4Z/Exj0RIGSp1ERvo4TUXrGN2nZ0FcPgWmSpLU7lw2ZZoVaRyN5OniXsj+Yh2OXrIkuTRRKczYRsaohMujMjmNRnKpFLZv0kS4dF4noyqrpRbh/3l5X35pgptRKO/T/+nXM/ny6X0ZCZ+ji/InvApGlbL3w82Oec4nbKE+yPrw5ZId5T7hQ4A3QH3CJ3zCJ3zCJ3zCJ3zCJ3zCB0AQ/P+x5blTEc9mOAAAAABJRU5ErkJggg==)
Estimate the price of a car that had been driven 48 thousand kilometers $ _______ thousand dollars.
- $40
- $30
- $29
- $28
The correct answer is: $28
Cars lose value the farther they are driven. A random sample of 11 cars for sale was taken. All 11 cars were the same make and model. A line was fit to the data to model the relationship between how far each car had been driven and its selling price.
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)
the price of a car that had been driven 48 thousand kilometers $28 thousand dollars.
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The difference between the actual value and the predicted is called the __________
The difference between the actual value and the predicted is called the __________
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Using the model 𝘺 = 𝟦𝟩.𝟪𝟩𝘹 + 𝟣𝟥𝟦𝟧.𝟢𝟦, where x is the number of years after 1975 and y is in thousands of miles, estimate the number of miles people flew on the airline in 2008.
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What is extrapolation?
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What is interpolation?
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Mathematics
What are the signs that a residual plot shows a line of best fit ?
i) The residual values are distributed in a clear pattern on both sides of the y-axis.
ii) The residual values are randomly distributed on either side of the x-axis.
iii) The residual values are randomly distributed on either side of the y-axis.
iv) The residual values are clustered close to the x-axis.
What are the signs that a residual plot shows a line of best fit ?
i) The residual values are distributed in a clear pattern on both sides of the y-axis.
ii) The residual values are randomly distributed on either side of the x-axis.
iii) The residual values are randomly distributed on either side of the y-axis.
iv) The residual values are clustered close to the x-axis.
MathematicsGrade10
Mathematics
What is a residual ?
i) The difference between the y-value of a data point and the corresponding y-value from the line of best fit.
ii) Actual y-value minus predicted y-value.
iii) All the remaining points that the line of best fit did NOT touch.
iv) The ratio of how many data points are on the line vice not on the line.
What is a residual ?
i) The difference between the y-value of a data point and the corresponding y-value from the line of best fit.
ii) Actual y-value minus predicted y-value.
iii) All the remaining points that the line of best fit did NOT touch.
iv) The ratio of how many data points are on the line vice not on the line.
MathematicsGrade10
Mathematics
What does a correlation coefficient of r = -0.8 reveal about the data it describes?
What does a correlation coefficient of r = -0.8 reveal about the data it describes?
MathematicsGrade10
Mathematics
What does a correlation coefficient of r = 0.3 reveal about the data it describes?
What does a correlation coefficient of r = 0.3 reveal about the data it describes?
MathematicsGrade10
Mathematics
What does it mean when the correlation coefficient is close (but not equal) to zero?
What does it mean when the correlation coefficient is close (but not equal) to zero?
MathematicsGrade10
Mathematics
What does it mean when the correlation coefficient is exactly equal to zero?
What does it mean when the correlation coefficient is exactly equal to zero?
MathematicsGrade10
Mathematics
What does it mean when the correlation coefficient is close to -1 ?
What does it mean when the correlation coefficient is close to -1 ?
MathematicsGrade10
Mathematics
What does it mean when the correlation coefficient is close to 1 ?
What does it mean when the correlation coefficient is close to 1 ?
MathematicsGrade10
Mathematics
What is a bivariate data set?
What is a bivariate data set?
MathematicsGrade10
Mathematics
Your linear regression function read as follows:
r2 = 0.9909817911, r = 0.9954806834, a = 13.55882353, b = 17.58823529
Which is the correlation coefficient of the line?
Your linear regression function read as follows:
r2 = 0.9909817911, r = 0.9954806834, a = 13.55882353, b = 17.58823529
Which is the correlation coefficient of the line?
MathematicsGrade10
Mathematics
Your linear regression function read as follows:
r2 = 0.9909817911, r = 0.9954806834, a = 13.55882353, b = 17.58823529
Which is the y-intercept of the line?
Your linear regression function read as follows:
r2 = 0.9909817911, r = 0.9954806834, a = 13.55882353, b = 17.58823529
Which is the y-intercept of the line?
MathematicsGrade10