please help.

The accumpanying table showy results from regressions performed on data from a random sample of 21 cars. The response (vl variable is CITY (fuel consumption in milyal). I he predictor (x) variables are WT (weight in pounds), DISP (engine displacingnit in liters). and HWY (highway fuel consumption in migel) Thy equation CITY = - 3.14 +0.810HWY was previously determined to be the best for predicting city fuel consumption A car weighs >/10 lb, it has an engine displacement of 2.1 L and is highway fuel consumption is 32 mi/gal What is the best pred cled value of the city fuel consumption? s that predicted value likely to be a good estimate? Is that predicted value ikely to be very accurate? Click the icon to view the table of regression equations. The best predicted value of the city fuck consumption is minal. (Type an integer or a decimal. Do not round ) The predicted value is not likely to be a good estimate and is not likely to be very accurate because only one predictor variably way used in the best equation. X Regression Table Predictor (x] Variables|P-Value R2 Adjusted R2 Regression Equation WTDISP/HWY 0.043 CILY = 6.89 - D.0D126WI - D.253015P +0 851HWY WTDISP 0 748 0.720 CITY - 38.3-0.00156WT - 1.26DISP WTHWY 0123 CITY - 6 06 - 0.00158WT + 0.872HWY DISP/HWY O.DUU 0 927 CITY - 1.82-0.825DISP +0.70/LIWY WT 0:600 0.712 0.807 CITY -41 9-0 00603WT DISP D.G41 CITY=20.7 -3.120ISP HWY 9000 0.921 0.920 CITY - - 3.14 + 0.016HWWY Print Done xt