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Week Cars(X) PassK(Y) 1 72 18.764 2 48 6.688 3 77 16.504 4 91 22.944 5 94 25.063 6 86 20.897 7 99 30.357 8
Week | Cars(X) | PassK(Y) | |||||||||
1 | 72 | 18.764 | |||||||||
2 | 48 | 6.688 | |||||||||
3 | 77 | 16.504 | |||||||||
4 | 91 | 22.944 | |||||||||
5 | 94 | 25.063 | |||||||||
6 | 86 | 20.897 | |||||||||
7 | 99 | 30.357 | |||||||||
8 | 113 | 27.076 | |||||||||
9 | 118 | 28.260 | |||||||||
10 | 133 | 36.683 | |||||||||
11 | 133 | 40.090 | |||||||||
12 | 135 | 39.040 | |||||||||
13 | 137 | 45.350 | |||||||||
14 | 140 | 51.648 | |||||||||
15 | 176 | 58.598 | |||||||||
16 | 186 | 55.163 | |||||||||
17 | 194 | 57.519 | |||||||||
18 | 189 | 52.820 | |||||||||
19 | 187 | 59.219 | |||||||||
20 | 181 | 70.065 | |||||||||
1. Use least squares equations to estimate home price when interest rate is 9.06 (mannual calculations) | |||||||||||
2.Using graph analyse regression result and interpret | |||||||||||
3. obtain regression equations and interpret |
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