please answer all the parts on excel

PROBLEM2: As you can see below, a sample of 20 cars was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. NOTE: (1) You will get negative independent variables (horsepower \& weight) and that is OK and (2) Round to 3 decimal places especially for the multiple regressionforecast (Requirement F). A. Develop a simple regression model to predict the dependent variable, MPG (Y), using horsepower (X1) as the independent variable. Predict the dependent variable, MPG (Y), if horsepower (xi) is forecasted to be 117. B. Develop a simple regression modelto predict the dependent variable, MPG (Y), usingweight (X2) as the independent variable. Predict the dependent variable, MPG (Y), if weight (X2) is forecasted to be 3426. C. Using R2, which of the 2 causal forecastingmodels, A or B, is better? D. Develop a multiple regression model to predict the dependent variable, MPG M), using horsepower (xa) and weight (x) as the 2 independent variables. E. Using A2, how does the multiple regression model compare with each of the 2 simple regression models? F. Usingthe multiple regression model, predict the dependent variable, MPG(Y), if harsepower (C ) is forecasted to be 117 and weight (C ) is forechsted to be 3426 . \begin{tabular}{|r|r|r|} \hline \multicolumn{1}{|l|}{ MPG (Y) } & HORSEPOWER (X1) & WEIGHT (X2) \\ \hline 44 & 67 & 1844 \\ \hline 44 & 50 & 1998 \\ \hline 40 & 62 & 1752 \\ \hline 37 & 69 & 1980 \\ \hline 37 & 66 & 1797 \\ \hline 34 & 63 & 2199 \\ \hline 35 & 90 & 2404 \\ \hline 32 & 99 & 2611 \\ \hline 30 & 63 & 3236 \\ \hline 28 & 91 & 2606 \\ \hline 26 & 94 & 2580 \\ \hline 26 & 88 & 2507 \\ \hline 25 & 124 & 2922 \\ \hline 22 & 97 & 2434 \\ \hline 20 & 114 & 3248 \\ \hline 21 & 102 & 2812 \\ \hline 18 & 114 & 3382 \\ \hline 18 & 142 & 3197 \\ \hline 16 & 153 & 4380 \\ \hline 16 & 139 & 4036 \\ \hline & & \\ \hline & 910 & \\ \hline \end{tabular}