74 The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable isCITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), andHWY (highway fuel consumption in mi/gal). If only one predictor (x) variable is used to predict the city fuel consumption, which singlevariable is best? Why?Click the icon to view the table of regression equations.The best variable isbecause it has the best combination of(Type integers or decimals. Do not round.)Regression TablePredictor (x) Variables P-Value R² Adjusted R²WT/DISP/HWY0.000 0.9420.000 0.7470.000 0.942WT/DISPWT/HWYDISP/HWYWTDISPHWY0.9320.7190.9360.000 0.9350.9280.000 0.712 0.6970.000 0.6580.6400.000 0.923 0.919P-value, andadjusted R²,Regression EquationCITY=6.89 -0.00134WT-0.258DISP+0.652HWYCITY=37.8 -0.00156WT-1.28DISPCITY=6.69 -0.00156WT+0.675HWYCITY = 1.81-0.622DISP+0.707HWYCITY = 41.6-0.00604WTCITY=28.6-3.03DISPCITY = 3.14+0.816HWY-Xanswer

The r square is the variable which explains the variability in the regression model. It takes the…

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 (Type integers or decimals. Do not round.) Regression Table because it has the best combination of Predictor (x) Variables P-Value R² Adjusted R² WT/DISP/HWY 0.000 0.942 0.932 WT/DISP 0.000 0.747 0.719 WT/HWY 0.000 0.942 0.936 DISP/HWY WT DISP HWY 0.000 0.935 0.000 0.712 0.000 0.658 0.000 0.923 0.928 0.697 0.640 0.919 P-value, and Regression Equation adjusted R², CITY=6.89-0.00134WT-0.258DISP+0.652HWY CITY=37.8 -0.00156WT-1.28DISP CITY=6.69 -0.00156WT+0.675HWY CITY=1.81-0.622DISP+0.707HWY CITY=41.6-0.00604WT CITY=28.6-3.03DISP CITY = -3.14+0.816HWY X answer