Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millic SUMMARY OUTPUT Wins v. Team Payroll Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA df SS MS F Regression 1032.6 2109.7 1032.6 13.7 Residual 75.3 Total Coefficients Standard Error t Stat P-val ue Lower 95% Upper 95% 75.9 Intercept 67.6 4.02 16.8 3.515E-16 59.4 Payroll 0.249 0.0673 0.0009 0.387 Based on the regression output, if you were to test the hypothesis that the coefficient on the Payroll variable was equal to 0 or not.. H, : Braroli =0 %3D Pay H: Braro # 0 What is the test statistic? (please express your answer using 2 decimal places) 3.70
Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millic SUMMARY OUTPUT Wins v. Team Payroll Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA df SS MS F Regression 1032.6 2109.7 1032.6 13.7 Residual 75.3 Total Coefficients Standard Error t Stat P-val ue Lower 95% Upper 95% 75.9 Intercept 67.6 4.02 16.8 3.515E-16 59.4 Payroll 0.249 0.0673 0.0009 0.387 Based on the regression output, if you were to test the hypothesis that the coefficient on the Payroll variable was equal to 0 or not.. H, : Braroli =0 %3D Pay H: Braro # 0 What is the test statistic? (please express your answer using 2 decimal places) 3.70
Chapter3: Polynomial Functions
Section3.5: Mathematical Modeling And Variation
Problem 2ECP
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21) Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s)
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