Which regression equation is best for predicting city fuel consumption? Why?
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 mils-al). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal).

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Predictor (x) Variables P-value R2Adjusted R2 Regression Equation 0.000 0.943 0.933 |CITY 6.86-0.00128 WT 0.257 DISP0.652 HWY WT/DISP WT/HWY DISP/HW WT DISP HWY 0.000 0.748 0.000 0.942 0.000 0.935 0.000 0.712 0.000 0.659 0.0000.924 0.720 CITY-38.0-0.00395 WT 1.29 DISP 0.935 CITY 6.69-0.00 159 WT + 0.670 HWY 0.928 0.697 | CITY = 41.8-0.00607 WT 0.641 CITY 29.0-2.98 DISP 0.920 CITY #--3.15 + 0.8 19 HWY CITY 1.87-0.625 DISP +0.706 HWY