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). The equation CITY = -3.12 +0.822HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2780 lb, it has an engine displacement of 2.4 L, and its highway fuel consumption is 39 mi/gal. 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? Click 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 Regression Table Predictor (x) Variables P-Value WT/DISP/HWY R Adjusted R2 Regression Equation WT/DISP 0.000 0.944 0.000 0.748 0.934 CITY 6.84 -0.00126WT-0.256DISP + 0.651HWY 0.720 CITY 38.1 -0.00159WT-1.28DISP WT/HWY 0.000 0.941 0.934 CITY 6.71 -0.00159WT + 0.667HWY DISP/HWY 0.000 0.935 0.928 CITY 1.82 - 0.627DISP + 0.702HWY WT 0.000 0.712 0.697 CITY 42.1-0.00605WT DISP 0.000 0.659 0.641 CITY 28.8-2.99DISP HWY 0.000 0.925 0.921 CITY 3.12 + 0.822HWY Print Done -