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 25 players was used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Regression Multiple R R Square Adjusted R Square Standard Error Observations A. 0.793 OB. 40.424 OC. 0.173 O D. 4.371 Statistics (a) The slope of the regression line is 0.70524 0.668395 8.703633 25 Coefficiente Standard (Stat Error (b) The correlation coefficient is OA. H₂ = 0 OB. Hp O OA. 0.8398 OB. -0.8398 OC. None of the other answers OD. 0.705 OC. H₂:00 OD. Hp 0 P-value Lower 95% A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The altemate hypothesis is Upper 95%
(d) The test statistic is A. 40.78 B. 0.362 C. None of the other answers D. 4.794 (e) The degrees of freedom are: A. 22 OB. 23 C. 25 D. 24 (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is A. zero B. not zero C. positive D. negative