Solve clearly

(e) Next, we would like to see how our results might change if we use multiple regression model. Estimate C (CEO compensation) as function of all independent variables and summarize the results both from the simple regression that you estimated in (d) and multiple regression models in the table below. Include the p-valve underneath each coefficient. (4 marks) Estimated Model (1) Model (2) Coefficients Simple Multiple (p-value Regression Regression Intercept Revenue # of Employees Capital Inv Sample Size R-Square Adj R-Square Significance-FCompensation Sales Revenue Number of Employees Capital Investment C (in $ooo) R (in $m) E (# FTE) KI (in $m) 397.5 87.5 1162.5 18.90 442.5 68.0 731.3 6.84 444.4 123.8 1631.3 26.82 448.1 85.0 918.8 9.00 453.8 132.0 1739.1 28.62 459.4 94.0 1012.5 10.26 474.4 151.8 1992.2 32.94 491.3 123.0 1335.9 14.40 508.1 187.8 1637.5 40.68 534.4 172.5 1253.1 22.14 616.9 343.0 2959.4 74.52 637.5 350.3 2578.1 54.54 661.9 407.3 3003.1 66.06 720.0 554.3 4740.6 120.78 759.4 654.0 5575.0 142.56 770.6 750.3 5587.5 143.64 855.0 1138.8 8540.6 244.26 896.3 1094.0 9240.6 238.86 984.4 2005.3 13660.3 501.12 1057.5 1828.8 13770.0 399.96 254.4 56.0 502.2 13.23 283.2 43.5 315.9 4.79 284.4 79.2 704.7 18.77 286.8 54.4 396.9 6.30 290.4 84.5 751.3 20.03 294.0 60.2 437.4 7.18 303.6 97.1 860.6 23.06 314.4 78.7 577.1 10.08 325.2 120.2 1061.1 28.48 342.0 110.4 812.0 15.50