K The accompanying table shows results from regressions performed on data from a random sample of 21 cars. 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). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why? Click the icon to view the table of regression equations. The best variable is because it has the best combination of P-value, and adjusted R2, (Type integers or decimals. Do not round.) sig ud - X ette Regression Table Du Predictor (x) Variables P-Value R2 Adjusted R2 Regression Equation WT/DISP/HWY 0.000 0.944 0.934 CITY = 6.81 - 0.00126WT - 0.257DISP + 0.653HWY WT/DISP 0.000 0.749 0.721 CITY = 37.7 -0.00159WT - 1.26DISP WT/HWY 0.000 0.943 0.937 CITY =6.68 - 0.00159WT + 0.674HWY DISP/HWY 0.000 0.935 0.928 CITY = 1.88 - 0.624DISP + 0.705HWY WT 0.000 0.713 0.698 CITY =41.8-0.00605WT DISP 0.000 0.659 0.641 CITY = 29.4 - 3.04DISP HWY 0.000 0.924 0.920 CITY = - 3.17 +0.816HWY US