OD. H₁ p = 0 (d) The test statistic is OA. None of the other answers OB. 4.794 OC. 40.78 OD. 0.362 (e) The degrees of fr
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OD. H₁ p = 0 (d) The test statistic is OA. None of the other answers OB. 4.794 OC. 40.78 OD. 0.362 (e) The degrees of fr
(a) The slope of the regression line is OA. 40.414 OB. 0.796 OC. 0.173 OD. 4.378 (b) The correlation coefficient is OA. -0.8398 OB. 0.705 OC. 0.8398 OD. None of the other answers 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 μ = 0 OC. H₁B 0 OD. H₁ p = 0
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm *** OA. 40.414 OB. 0.796 OC. 0.173 OD. 4.378 0.70524 0.668395 8.703633 14 Coefficients Standard Error (a) The slope of the regression line is (b) The correlation coefficient is t Stat OA. -0.8398 OB. 0.705 OC. 0.8398 OD. None of the other answers P-value 60.40101 40.41389 8.506861 4.794266 0.001366 21.1673 0.796267 0.172709 4.378336 0.002365 0.362046 1.169078 Lower 95% Upper 95%
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 14 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 Statistics OA. 40.414 OB. 0.796 OC. 0.173 D. 4.378 *** 0.70524 0.668395 8.703633 14 Coefficients Standard (a) The slope of the regression line is (b) The correlation coefficient is OA. -0.8398 OB. 0.705 OC. 0.8398 OD. None of the other answers t Stat P-value Lower Upper (...)