A baseball analyst would like to develop a model to predict the number of wins during the 2000 baseball season. The analyst collected several variables: Wins, ERA, Runs Scored, Hits Allowed, Walks...

Homework #10 A baseball analyst would like to develop a model to predict the number of wins during the 2000 baseball season. The analyst collected several variables: Wins, ERA, Runs Scored, Hits Allowed, Walks Allowed, Errors, and Saves from 30 professional baseball teams. Summary OutputCorrelation MatrixRegression StatisticsWinsERAWin1Multiple R0.9504ERA-.65981R squared0.9032Run Scored.6101.0856Standard Error3.3463Hits Allowed-.5520.8600Observations30Walks Allowed-.2261.3105Saves.5320-.5985Errors-.1308.0540 ANOVA dfSSMSFSignificance F Regression42611.92652.9858.3123 2.59E-12 Residual25279.9511.198 Total292891.97 Coefficient Standard Error t Stat P-value Lower 95% Upper 95% Intercept b0 74.771 16.7626 4.4610 0.0002 40.2540 109.3003 ERA b1 -12.3206 3.2066 -3.8423 0.0007-18.9247 -5.7166 Run Scored b2 0.08433 0.0079 10.6414 9.0114E-110.0680 0.1007 Hits Allowed b3 -.0107 0.0163 -0.6563 0.5176-0.0441 0.0228 Saves b4 0.2731 0.1203 2.2703 0.03210.0254 0.5208 Part A: Correlation 1)Which variables are the dependent variables? Wins 2)Which variables are the independent variables? Era, Run Scored, Hits Allowed, Errors, and Saves 3)Which 4 variables have the highest correlation with Wins? Era, Run Scored, Hits, Allowed, and Saves Part B: Multiple Regression 4)What is the estimated regression equation when using the four variables that have the highest correlation values? 5)Use the estimated regression equation to predict Wins when ERA is 5.2, Runs Scored are 938, Hits Allowed are 1596, and Saves are 30. 6)Calculate the...