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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 13 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 OA. 0.706 OB. 4.372 Statistics 20°C 0.70524 0.668395 8.703633 13 (a) The slope of the regression line is Coefficients Standard t Stat P-value Lower Upper Submit test Time Remaining: 01:33:14 Next (
R Square Adjusted R Square Standard Error Observations Intercept Midterm O 0.70524 0.668395 8.703633 13 A. 0.706 B. 4.372 C. 40.526 Coefficients Standard Error (a) The slope of the regression line is 40.52612 8.506861 0.705815 0.177847 t Stat P-value Lower 95% 4.794266 0.001366 21.1673 4.372449 0.002365 0.362046 Upper 95% 60.40101 1.169078 This question: 4 point(s) possible Time Remaining: 01:32:48
524 (b) The correlation coefficient is O 550005 A. None of the other answers B. 0.8398 C. 0.705 D. -0.8398 OA. H₁: p = 0 A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OB. H₁: p = 0 E
(c) The alternate hypothesis is Ο A. Η :p = 0 B. H₁ : µ = 0 C. H₁ : B # 0 OD. H₁ :p # 0 (d) The test statistic is A. None of the other answers B. 0.362 20°C 4 point(s) possib Time Remaining
R Square AdiccataL C. 40.78 D. 4.794 A. 11 B. 12 C. 13 D. 10 U.70524 (e) The degrees of freedom are: 0600205 A. negative B. positive (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is Time Remaining: 01:
K Square (e) The degrees of freedom are: A. 11 B. 12 C. 13 D. 10 O O O O (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is A. negative positive not zero zero B. U./U524 C. D. This question: 4 point(s) possible Time Remaining: 01:31:45 Submit Nex