Question: 1 Suppose the Excel output from the baseball data includes this ANOVA table: ANOVA d 35 MS F S n' icance F Regression 1 3471

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1 Suppose the Excel output from the baseball data includes this ANOVAtable: ANOVA d 35 MS F S\" n' icance F Regression 13471 3471 253 1.50901E-15 Residual 28 385 14 Total 29 3856 Reference:Ref. 2 What does the F test statistic test? f) A. Ifthe intercept is zero f\") B. If the slope parameter is zero0 C. If the slope parameter is positive f\") D. If the

Suppose the Excel output from the baseball data includes this ANOVA table: ANOVA d 35 MS F S\" n' icance F Regression 1 3471 3471 253 1.50901E-15 Residual 28 385 14 Total 29 3856 Reference: Ref. 2 What does the F test statistic test? f) A. If the intercept is zero f\") B. If the slope parameter is zero 0 C. If the slope parameter is positive f\") D. If the slope parameter is negative Suppose the Excel output from the baseball data includes this ANOVA table: ANOVA df 55 MS F Significance F Regression 1 3471 3471 253 1.50901E15 Residual 28 385 14 Total 29 3856 Reference: Ref. 2 What is the conclusion from the F-test? ('7 A. Reject that the slope is zero because the p-value is close to zero .('7. B. Reject that the slope is positive because the p-value is close to zero .('7 C. Reject that the intercept is zero because the p-value is close to zero .('7. D. Accept that the slope is negative because the p-value is close to zero This output is from the same Excel output as above. Coefficients Standard Error Intercept 81.0000 0.6766 X Variable 1 0.0877 0.0055 Reference: Ref. 3 What is "X Variable 1"? A. The independent variable, in this case Wins O B. The dependant variable, in this case Wins C. The independent variable, in this case RD O D. The dependant variable, in this case RDThis output is from the same Excel output as above. Coefficients Standard Error Intercept 81.0000 0.6766 X Variable 1 0.0877 0.0055 Reference: Ref. 3 What is the hypothesis test for the X-Variable 1? A. Ho: Intercept = 0 v. H1: Slope equal to intercept O B. Ho: Slope = 0 v. H1: Slope not equal to zero C. Ho: Intercept = 0 v. H1: Intercept not equal to intercept D. Ho: Slope = 0 v. H1: Slope equal to interceptThis output is from the same Excel output as above. Coefficients Standard Error Intercept 81.0000 0.6766 X Variable 1 0.0877 0.0055 Reference: Ref. 3 What is the test statistic for testing the hypothesis on X Variable 1? A. 0.0055 O B. 119.72 C. 0.6766 D. 15.95This output is from the same Excel output as above. Coeicief nts Standard Error Intercept 81.0000 0.6766 x Variable 1 0.0877 0.0055 Reference: Ref. 3 What is your conclusion concerning the hypothesis on X Variable 1? ('j A. Reject the null because the test statistic is large suggesting a pvalue close to zero if) B. Reject the null because the test statistic is small suggesting a p-value close to zero f) 0. Accept the null because the test statistic is small suggesting a large p-value C D. Accept the null because the test statistic is large suggesting a p-Value close to zero

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