Regression. A coach wants to see the relationship between the statistics of practice games and the official games of a local soccer team. A sample of 23 players was used and the resulting? (partial) Excel output is shown below. Assume both x and y form normal distributions.

Regression. A coach wants to see the relationship between the statistics of practice game Assume both x and y form normal distributions. Regression Statistics Multiple R R Square 0.7052 Adjusted R Square 0.668395 Standard Error 8.703633 Observations 23 Coefficients Standard t Stat P-value Lower Upper 95% 95% 40.67916 8.506861 4.794266 0.001366 21.1673 60.40101 Midter 0.734611 0.170703 4.370775 0.002365 0.362046 1.169078 (a) The slope of the regression line is A. 4.371 O B. 0.171 O C. 0.735 O D. 40.679 (b) The correlation coefficient is O A. 0.8398 O B. None of the other answers O C. 0.705 O D. -0.8398 A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H1 : H = 0 OB. H1 : B # 0 OC. H1 : P = 0 OD. H1 : P # 0 (d) The test statistic is O A. None of the other answers O B. 4.794 O C. 40.78 O D. 0.362 (e) The degrees of freedom are: O A. 20 O B. 23 O C. 21 O D. 22 (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is O A. negative O B. zero O C. not zero O D. positive