Solved: City Fuel Consumption: Finding the Best Multiple Regression Equation. In

Chapter 10, Problem 9

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City Fuel Consumption: Finding the Best Multiple Regression Equation. In Exercises 912, refer to the accompanying table, which was obtained using the data from 21 cars listed in Data Set 14 in Appendix B. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). Predictor (x) Variables Pvalue R 2 Adjusted R 2 Regression Equation WT/DISP/HWY 0.000 0.943 0.933 CITY = 60.86 0.00128 WT 0.257 DISP + 0.652 HWY WT/DISP 0.000 0.748 0.720 CITY = 38.0 0.00395 WT 1.29 DISP WT/HWY 0.000 0.942 0.935 CITY = 6.69 0.00159 WT + 0.670 HWY DISP/HWY 0.000 0.935 0.928 CITY = 1.87 0.625 DISP + 0.706 HWY WT 0.000 0.712 0.697 CITY = 41.8 0.00607 WT DISP 0.000 0.659 0.641 CITY = 29.0 2.98 DISP HWY 0.000 0.924 0.920 CITY = 3.15 + 0.819 HWY If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why?