I'm a little stuck on this assignment. Can someone please help me!?

Thank you!!!

Measurements were taken on a random sample of 21 cars. The predictor variables include WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in miles per gallon). You've been hired to create a regression formula to predict the city fuel consumption in mpg based on these three independent variables. Use the information in table below to answer three of the following questions. Predictor (x) Variables MSE Adjusted R? Regression Equation WT/DISP/HWY 0.969 0.942 0.933 CITY=6.86-0.00128 WT-0.257 DISP + 0.652 HWY WT/DISP 4.036 0.748 0.720 CITY=38.0-0.00395 WT-1.29 DISP WT/HWY 0.936 0.942 0.935 CITY=6.69-0.00159 WT+0.670 HWY DISP/HWY 1.039 0.935 0.928 CITY=1.87-0.625 DISP + 0.706 HWY WT 4.377 0.712 0.697 CITY=41.8-0.00607 WT DISP 5.177 0.659 0.641 CITY=29.0-2.98 DISP HWY 1.161 0.924 0.920 CITY=-3.15+ 0.819 HWY 1. If only one predictor variable is used to predict city fuel consumption, which single variable is best? Why? 2. If exactly two predictor variables are used to predict city fuel consumption, which two variables should be chosen? Why? 3. Considering all of the models shown in the table above, which regression equation is best for predicting city fuel consumption? Why? 4. A Honda Civic weights 2740 lb., it has an engine displacement of 1.8 L, and its highway fuel consumption is 36 mpg. What is the best predicted value of the city fuel consumption? Is that predicted value likely to be good estimate? very accurate? Explain