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
Posted: Sun Jul 10, 2022 10:13 am
(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 (...)