Regression. A coach wants to see the relationship between the statistics of practice games and official games of a local

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Regression. A coach wants to see the relationship between the statistics of practice games and official games of a local soccer team. A sample of 24 players was used and the resulting (partial) Excel output is shown below Assume boths and y form normal distributions Regretsint: Muple R Square Adjusted R Square Standard Error Observations Statistic 0.70524 0.000396 8.703033 24 Coefficients Standard Stat (a) The slope of the regression is OA 0.728 OB. 4371 OC 40.022 OD 0.174 The clation coefficient is OA 08 OB 08000 OC 0.706 OD. None of the other answers Pale Lower Upper and book se
Regression Multiple R R Square Adjusted R Square Standard Error Observations Statistics OA. H₁ p = 0 OB. H₁B0 OC. H₁: p = 0 OD. H₁ :p #0 *** 0.70524 0.668395 8.703633 24 Coefficients Standard t Stat P-value Lower Upper A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is
(d) The test statistic is OA. 0.362 OB. None of the other answers OC. 40.78 O D. 4.794 (e) The degrees of freedom are: OA. 23 OB. 21 OC. 22 OD. 24
(f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is OA. zero B. negative C. positive D. not zero
Regression Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm Statistics *** 0.70524 0.668395 8.703633 24 Coefficients Standard Error t Stat 40.02245 8.506861 4.794266 0.727772 0.174498 4.370898 P-value 0.001366 0.002365 Lower 95% 21.1673 0.362046 Upper 95% 60.40101 1.169078