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QUESTION 1 4 points Save Answer A regression analysis relating the earnings of players of the LPGA and scoring average, greens in regulation, and putting average resulted in the following output (predicting earnings based on the other variables). SUMMARY OUTPUT Regression Statistics Multiple R 0.7755 R Square 0.6015 Adjusted R Square 0.5555 Standard Error 283941.9699 Observations 30 ANOVA df SS MS F Significance F Regression 3 3.1637E+12 1.05455E+12 13.08003962 2.12403E-05 Residual 26 2.0962E+12 80623042289 Total 29 5.2599E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 28095780.3839 8414995.0378 3.3388 0.0025 10798510.3576 45393050.4102 10798510.3576 45393050.4102 Scoring Avg. -374355.9557 127385.7370 -2.9388 0.0068 -636201.0882 -112510.8233 -636201.0882 -112510.8233 Greens in Reg. 3411704.7036 2419905.7948 1.4099 0.1704 -1562482.8963 8385892.3035 -1562482.8963 8385892.3035 Putting Avg. -1597402.9240 2430138.1756 -0.6573 0.5167 -6592623.4839 3397817.6360 -6592623.4839 3397817.6360 a. Use the output shown above and write an equation that can be used to predict the earnings of a player. b Using a = .05, determine whether or not the regression model is significant. Fully explain how you arrived at your conclusion and what your answer indicates. C . At a = .05, determine which variables are significant and which are not. Explain how you arrived at your conclusion. d. Fully explain the meaning of R Square, which is given in the above regression results. Be very specific and give numerical explanation