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 13 players was used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Regression Statistics Multiple R * * * R Square 0.70524 Adjusted R Square 0.668395 Standard Error 8.703633 Observations 13 Coefficients Standard t Stat P-value Lower Upper (a) The slope of the regression line is O A. 40.481 O B. 0.755 O C. 0.179 O D. 4.372 (b) The correlation coefficient is O A. 0.705 O B. None of the other answers O C. 0.8398 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 : P = 0 OB. H1 : P # 0 OC. H1 : B # 0 OD. H1 : H = 0Regression Statistics Multiple R * * * R Square 0.70524 Adjusted R Square 0.668395 Standard Error 8.703633 Observations 13 Coefficients Standard t Stat P-value Lower Upper Error 95% 95% Intercept 40.48106 8.506861 4.794266 0.001366 21.1673 60.40101 Midterm 0.755247 0. 178979 4.372288 0.002365 0.362046 1.169078