Question: In Problem 2.4 you were asked to compute a $95 %$ CI on mean gasoline prediction interval on mileage when the engine displacement $x_{1}=275$ in.

In Problem 2.4 you were asked to compute a $95 %$ CI on mean gasoline prediction interval on mileage when the engine displacement $x_{1}=275$ in. $^{3}$ Compare the lengths of these intervals to the lengths of the confidence and prediction intervals from Problem 3.5 above. Does this tell you anything about the benefits of adding $x_{6}$ to the model?

Data From Problem 2.4

Table B. 3 presents data on the gasoline mileage performance of 32 different automobiles.

Automobile y X1 X2 X3 Xt xs X6 X7 X X X1

a. Fit a simple linear regression model relating gasoline mileage $y$ (miles per gallon) to engine displacement $x_{1}$ (cubic inches).

b. Construct the analysis-of-variance table and test for significance of regression.

c. What percent of the total variability in gasoline mileage is accounted for by the linear relationship with engine displacement?

d. Find a $95 % \mathrm{CI}$ on the mean gasoline mileage if the engine displacement is 275 in. $^{3}$

e. Suppose that we wish to predict the gasoline mileage obtained from a car with a 275 -in. ${ }^{3}$ engine. Give a point estimate of mileage. Find a $95 %$ prediction interval on the mileage.

f. Compare the two intervals obtained in parts $d$ and e. Explain the difference between them. Which one is wider, and why?

Data From Problem 3.5

Consider the gasoline mileage data in Table B.3.

X11 Apollo 18.90 350 165 260 8.0:1 2.56:1 4 3 200.3 69.9

a. Fit a multiple linear regression model relatmg gasoline mileage $y$ (miles per gallon) to engine displacement $x_{1}$ and the number of carburetor barrels $x_{6}$.

b. Construct the analysis-of-variance table and test for significance of regression.

c. Calculate $R^{2}$ and $R_{\text {Adj }}^{2}$ for this model. Compare this to the $R^{2}$ and the $R_{\text {Adj }}^{2}$ for the simple linear regression model relating mileage to engine displacement in Problem 2.4.

d. Find a $95 %$ CI for $\beta_{1}$.

e. Compute the $t$ statistics for testing $H_{0}$ : $\beta_{1}=0$ and $H_{0}$ : $\beta_{6}=0$. What conclusions can you draw?

f. Find a $95 %$ CI on the mean gasoline mileage when $x_{1}=275$ in. $^{3}$ and $x_{6}=2$ barrels.

g. Find a $95 %$ prediction interval for a new observation on gasoline mileage when $x_{1}=275$ in. ${ }^{3}$ and $x_{6}=2$ barrels.

Automobile y X1 X2 X3 Xt xs X6 X7 X X X1 X11 Apollo 18.90 350 165 260 8.0:1 2.56:1 4 3 200.3 69.9 3910 A Omega 1700 350 170 275 8.5:1 2.56:1 4 3 199.6 72.9 2860 A Nova 20.00 250 105 185 8.25:1 2.73:1 1 3 196.7 72.2 3510 A Monarch 18.25 351 143 255 8.0:1 3.00:1 2 3 199.9 74.0 3890 A Duster 20.07 225 95 170 8.4:1 2.76:1 1 3 194.1 71.8 3365 M Jenson 11.2 440 215 330 8.2:1 2.88:1 4 3 184.5 69 4215 A Conv. Skyhawk 22.12 231 110 175 8.0:1 2.56:1 2 3 179.3 65.4 3020 A Monza 21.47 262 110 200 8.5:1 2.56:1 2 3 179.3 65.4 3180 A Scirocco 34.70 89.7 70 81 8.2:1 3.90:1 2 4 155.7 64 1905 M Corolla 30.40 96.9 75 83 9.0:1 4.30:1 2 5 165.2 65 2320 M SR-5 Camaro 16.50 350 155 250 8.5:1 3.08:1 4 3 195.4 74.4 3885 A Datsun 36.50 85.3 80 83 8.5:1 3.89:1 2 4 160.6 62.2 2009 M B210 Capri II 21.50 171 109 146 8.2:1 3.22:1 2 4 170.4 66.9 2655 M Pacer 19.70 258 110 195 8.0:1 3.08:1 1 3 171.5 77 3375 A Babcat 20.30 140 83 109 8.4:1 3.40:1 2 4 168.8 69.4 2700 M Granada 1780 302 129 220 8.0:1 3.0:1 2 3 199.9 74 3890 A Eldorado 14.39 500. 190 360 8.5:1 2.73:1 4 3 224.1 79.8 5290 A Imperial 14.89 440 215 330 8.2:1 2.71:1 4 3 231.0 79.7 5185 A Nova LN 1780 350 155 250 8.5:1 3.08:1 4 3 196.7 72.2 3910 A Valiant 16.41 318 Starfire 23.54 231 Cordoba 21.47 360 Trans AM 16.59 400 Corolla E-5 31.90 96.9 145 255 8.5:1 110 175 180 290 8.4:1 185 NA 76:1 75 83 9.0:1 2.45:1 2 3 1976 71 3660 A 8.0:1 2.56:1 2 3 2.45:1 2 3 179.3 65.4 3050 A 214.2 76.3 4250 A 3.08:1 3.08:1 4 3 196 73 3850 A 4.30:1 25 165.2 61.8 2275 M Astre 29.40 140 86 NA 8.0:1 2.92:1 2 4 Mark IV Celica GT 13.27 460 223 366 8.0:1 23.90 133.6 96 120 8.4:1 3.91:1 Charger SE 19.73 318 19.73 318 Cougar 13.90 351 Elite Matador Corvette 13.27 351 13.77 360 16.50 350 140 255 8.5:1 148 243 8.0:1 148 243 8.0:1 195 295 8.25:1 165 255 8.5:1 3.00:1 4 3 2 5 2.71:1 2 3 3.25:1 2 3 3.26:1 2 3 3.15:1 4 3 2.73:1 4 3 176.4 228 79.8 5430 A 171.5 63.4 2535 M 215.3 76.3 4370 A 215.5 78.5 4540 A 216.1 78.5 4715 A 209.3 774 65.4 2150 M 4215 A 185.2 69 3660 A

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