please help!

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/gel). The predictor (x) variables are WI (weight in pounds), DISP (engine displacement in liters), and ! IWY (highway fuel consumption in migal) The equation CITY - - 8.14 # 0 816HWY was previously determined to be the best for predicting city fuel consumption A car weighs 2/ 10 lb, it has an engine displacement of 2.1 Li and its highway fuel consumption is 32 migal. What is the best predicted value of the city fuel consumption? Is that predicted value likely to be a good estimate? Is that predicted value likely to be very accurate? BClick the icon to view the table of regression equations The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) The predicted value likely to be a good estimate and likely to be very accurate because - X the value is too low. the value is too high. Adjusted R2 Regression Equation 10.943 0933 CITY = 6.89 - 0.00126WT - 0.253DISP + 0.651HWY the best equation was used to calculate it 10 748 0.720 CITY = 38 3- 0 00158WT -1.28DISP 0.943 10 937 CITY =6.60 - 0.00158WI + 0 672HWY the sample consists of only 21 cars. 0.934 0 927 CITY = 1 82 -0.625DISP +0 707HWY 0.712 0697 CITY - 41.9- 0.00603WT 0.659 CITY - 28.7 3.02DISP only one predictor variable was used in the best equation. 0.641 0 924 0.920 CITY - 3.14+0 816HWY the best equation does not have the largest Adjusted R value