Question
Consider the gasoline mileage data in Table B.3. a. Fit a multiple linear regression model relatmg gasoline milcage y (miles per gallon) to engine displacement
Consider the gasoline mileage data in Table B.3. a. Fit a
multiple linear regression model relatmg gasoline milcage y
(miles per gallon) to engine displacement x1 and the number
of carburetor barrels X6. b. Construct the analysis-of-variance
table and test for significance of regression. c. Calculate R2
and R2 adjusted for this model. Compare this to the R and the RAdjusted
for the simple linear regression model relating mileage to
engine displace- ment in Problem 2.4. d. Find a 95% CI for
B1. e. Compute the t statistics for testing H0: B1 = 0 and H0:
B6=0. What conclusions can you draw? f. Find a 95% CI on
the mean gasoline mileage when x1 = 275 in3. and x6 = 2
barrels. g. Find a 95% prediction interval for a new
observation on gasoline mileage when Xi = 257 in3. and X6 =
2 barrels.
18.9 | 350 | 165 | 260 | 8 | 2.56 | 4 | 3 | 200.3 | 69.9 | 3910 | 1 |
17 | 350 | 170 | 275 | 8.5 | 2.56 | 4 | 3 | 199.6 | 72.9 | 3860 | 1 |
20 | 250 | 105 | 185 | 8.25 | 2.73 | 1 | 3 | 196.7 | 72.2 | 3510 | 1 |
18.25 | 351 | 143 | 255 | 8 | 3 | 2 | 3 | 199.9 | 74 | 3890 | 1 |
20.07 | 225 | 95 | 170 | 8.4 | 2.76 | 1 | 3 | 194.1 | 71.8 | 3365 | 0 |
11.2 | 440 | 215 | 330 | 8.2 | 2.88 | 4 | 3 | 184.5 | 69 | 4215 | 1 |
22.12 | 231 | 110 | 175 | 8 | 2.56 | 2 | 3 | 179.3 | 65.4 | 3020 | 1 |
21.47 | 262 | 110 | 200 | 8.5 | 2.56 | 2 | 3 | 179.3 | 65.4 | 3180 | 1 |
34.7 | 89.7 | 70 | 81 | 8.2 | 3.9 | 2 | 4 | 155.7 | 64 | 1905 | 0 |
30.4 | 96.9 | 75 | 83 | 9 | 4.3 | 2 | 5 | 165.2 | 65 | 2320 | 0 |
16.5 | 350 | 155 | 250 | 8.5 | 3.08 | 4 | 3 | 195.4 | 74.4 | 3885 | 1 |
36.5 | 85.3 | 80 | 83 | 8.5 | 3.89 | 2 | 4 | 160.6 | 62.2 | 2009 | 0 |
21.5 | 171 | 109 | 146 | 8.2 | 3.22 | 2 | 4 | 170.4 | 66.9 | 2655 | 0 |
19.7 | 258 | 110 | 195 | 8 | 3.08 | 1 | 3 | 171.5 | 77 | 3375 | 1 |
20.3 | 140 | 83 | 109 | 8.4 | 3.4 | 2 | 4 | 168.8 | 69.4 | 2700 | 0 |
17.8 | 302 | 129 | 220 | 8 | 3 | 2 | 3 | 199.9 | 74 | 3890 | 1 |
14.39 | 500 | 190 | 360 | 8.5 | 2.73 | 4 | 3 | 224.1 | 79.8 | 5290 | 1 |
14.89 | 440 | 215 | 330 | 8.2 | 2.71 | 4 | 3 | 231 | 79.7 | 5185 | 1 |
17.8 | 350 | 155 | 250 | 8.5 | 3.08 | 4 | 3 | 196.7 | 72.2 | 3910 | 1 |
16.41 | 318 | 145 | 255 | 8.5 | 2.45 | 2 | 3 | 197.6 | 71 | 3660 | 1 |
23.54 | 231 | 110 | 175 | 8 | 2.56 | 2 | 3 | 179.3 | 65.4 | 3050 | 1 |
21.47 | 360 | 180 | 290 | 8.4 | 2.45 | 2 | 3 | 214.2 | 76.3 | 4250 | 1 |
16.59 | 400 | 185 | . | 7.6 | 3.08 | 4 | 3 | 196 | 73 | 3850 | 1 |
31.9 | 96.9 | 75 | 83 | 9 | 4.3 | 2 | 5 | 165.2 | 61.8 | 2275 | 0 |
29.4 | 140 | 86 | . | 8 | 2.92 | 2 | 4 | 176.4 | 65.4 | 2150 | 0 |
13.27 | 460 | 223 | 366 | 8 | 3 | 4 | 3 | 228 | 79.8 | 5430 | 1 |
23.9 | 133.6 | 96 | 120 | 8.4 | 3.91 | 2 | 5 | 171.5 | 63.4 | 2535 | 0 |
19.73 | 318 | 140 | 255 | 8.5 | 2.71 | 2 | 3 | 215.3 | 76.3 | 4370 | 1 |
13.9 | 351 | 148 | 243 | 8 | 3.25 | 2 | 3 | 215.5 | 78.5 | 4540 | 1 |
13.27 | 351 | 148 | 243 | 8 | 3.26 | 2 | 3 | 216.1 | 78.5 | 4715 | 1 |
13.77 | 360 | 195 | 295 | 8.25 | 3.15 | 4 | 3 | 209.3 | 77.4 | 4215 | 1 |
16.5 | 360 | 165 | 255 | 8.5 | 2.73 | 4 | 3 | 185.2 | 69 | 3660 | 1 |
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