A corporation has asked you to prepare some multiple regression equations to estimate the effect of variables on fuel economy. The data for this study are shown below, and the dependent variable is miles per gallon. Complete parts a and b. Miles 43.3 Horsepower 50 Weight 1985 36.3 67 1885 32.7 51 1990 39.5 72 2090 yeular tr = + + (Round to four decimal places as needed.) 36 62 1880 19.2 19.1 142 110 3370 3775 20.9 136 3560 19.9 101 3165 20.8 D 94 2720 a. Prepare a regression equation that uses vehicle horsepower and vehicle weight as independent variables. Let x₁ be defined as horsepower and x₂ be defined as weight.

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A corporation has asked you to prepare some multiple regression equations to estimate the effect of variables on fuel
economy. The data for this study are shown below, and the dependent variable is miles per gallon. Complete parts a and
b.
Miles 43.3
Horsepower 50
Weight 1985
36.3
67
1885
32.7
51
1990
+
ŷ =)
()×₁ + ( )×₂
(Round to four decimal places as needed.)
39.5
72
2090
36
62
1880
19.2
110
3370
19.1
142
3775
20.9
136
3560
19.9
101
3165
a. Prepare a regression equation that uses vehicle horsepower and vehicle weight as independent variables. Let x₁ be
defined as horsepower and x₂ be defined as weight.
20.8
94
2720
Transcribed Image Text:A corporation has asked you to prepare some multiple regression equations to estimate the effect of variables on fuel economy. The data for this study are shown below, and the dependent variable is miles per gallon. Complete parts a and b. Miles 43.3 Horsepower 50 Weight 1985 36.3 67 1885 32.7 51 1990 + ŷ =) ()×₁ + ( )×₂ (Round to four decimal places as needed.) 39.5 72 2090 36 62 1880 19.2 110 3370 19.1 142 3775 20.9 136 3560 19.9 101 3165 a. Prepare a regression equation that uses vehicle horsepower and vehicle weight as independent variables. Let x₁ be defined as horsepower and x₂ be defined as weight. 20.8 94 2720
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