Regression. A coach wants to see the relationship between the statistics of practice games and official games of a local

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Regression A Coach Wants To See The Relationship Between The Statistics Of Practice Games And Official Games Of A Local 1 (21.57 KiB) Viewed 97 times

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 12 players was used and the resulting (partial) Excel output Assume both x and y form normal distributions. Regression Multiple R R Square Adjusted R Square Standard Error Observations Statistics OA. 0.794 OB. 4.374 O C. 0.177 *** 0.70524 0.668395 8.703633 12 Coefficients Standard (a) The slope of the regression line is t Stat P-value Lower Upper G shown below. Activate Windows ▸
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm *** 0.70524 0.668395 8.703633 12 Coefficients Standard Error t Stat P-value 40.47383 8.506861 4.794266 0.001366 0.793788 0.177307 4.37383 0.002365 Lower 95% 21.1673 0.362046 Upper 95% 60.40101 1.169078 C
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm *** OA. 0.705 OB. 0.8398 O C. -0.8398 0.70524 0.668395 8.703633 12 Coefficients Standard t Stat Error (b) The correlation coefficient is P-value Lower 95% 0.001366 21.1673 40.47383 8.506861 4.794266 0.793788 0.177307 4.37383 0.002365 0.362046 Upper 95% 60.40101 1.169078 4
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm *** Ο Α. Η : μ = 0 OB. H₁ p = 0 0.70524 0.668395 8.703633 12 Coefficients Standard t Stat Error P-value Lower 95% Upper 95% 40.47383 8.506861 4.794266 0.001366 21.1673 60.40101 0.793788 0.177307 4.37383 0.002365 0.362046 1.169078 A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is C juato Minde
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm 0.70524 0.668395 8.703633 12 Coefficients Standard t Stat Error (d) The test statistic is P-value 4.794266 0.001366 21.1673 40.47383 8.506861 0.793788 0.177307 4.37383 0.002365 0.362046 O A. None of the other answers OB. 0.362 O C. 40.78 Lower 95% Upper 95% 60.40101 1.169078 C Activato Windows
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm 0.70524 0.668395 8.703633 12 OA. 9 OB. 12 O C. 10 Coefficients Standard Error 40.47383 8.506861 0.793788 0.177307 (e) The degrees of freedom are: t Stat Lower 95% 21.1673 60.40101 4.794266 0.001366 4.37383 0.002365 0.362046 1.169078 P-value Upper 95% (…) Activate Windows K
Multiple R R Square Adjusted R Square Standard Error Observations Intercept Midterm *** O A. positive OB. not zero O C. zero 0.70524 0.668395 8.703633 12 Coefficients Standard Error t Stat P-value Lower 95% 0.001366 21.1673 40.47383 8.506861 4.794266 0.793788 0.177307 4.37383 0.002365 0.362046 Upper 95% 60.40101 1.169078 (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is