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...

Extracted text: 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 mil/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 adjusted R?, because it has the best combination of P-value, and (Type integers or decimals. Do not round.)


Extracted text: Regression Table R2 Adjusted R? Predictor (x) Variables P-Value WT/DISP/HWY WT/DISP WT/HWY DISP/HWY Regression Equation CITY = 6.82 - 0.00133WT - 0.259DISP + 0.651HWY CITY = 38.3 - 0.00156WT - 1.28DISP CITY = 6.68 – 0.00156WT +0.673HWY CITY = 1.81 - 0.621DISP + 0.704HWY CITY = 42.1- 0.00607WT 0.000 0.000 0.000 0.944 0.934 0.747 0.719 0.941 0.934 0.000 0.936 0.929 WT 0.000 0.712 0.697 DISP 0.000 0.659 0.641 CITY = 29.1 - 2.98DISP HWY 0.000 0.923 0.919 CITY = - 3.11 + 0.815HWY Print Done