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?

The best variable is HWY/WT/DISP because it has the best combination of large/small P-value, ___, and large/small adjusted R^2, ___

Predictor (x) Variables	P-Value	R2	Adjusted R2	Regression Equation
WT/DISP/HWY	0.000	0.942	0.932	CITY=6.820.00132WT0.258DISP+0.654HWY
WT/DISP	0.000	0.749	0.721	CITY=37.70.00158WT1.28DISP
WT/HWY	0.000	0.941	0.934	CITY=6.730.00158WT+0.669HWY
DISP/HWY	0.000	0.934	0.927	CITY=1.830.626DISP+0.702HWY
WT	0.000	0.712	0.697	CITY=41.90.00609WT
DISP	0.000	0.658	0.640	CITY=28.53.05DISP
HWY	0.000	0.924	0.920	CITY=3.14+0.818HWY