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Regression. A coach wants to see the relationship between the statistics of praction games and official games of a local
Posted: Sun Jul 10, 2022 10:17 am
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Regression. A coach wants to see the relationship between the statistics of praction games and official games of a local soccer team. A sample of 22 players was used and the resulting (parta) Excel output is shown below. Assume both ar and y form normal distributions Regression Multiple R R Square Adjusted R Square Standard Emor Observations Stataties OC 40.146 OD 0.179 0.70524 0.066395 8.703033 Coefficiente Standard Stat (a) The slope of the regression lines OA. 4.377 OB. 0.762 Pak Lower Upper CID
(b) The correlation coefficient is A. -0.8398 OB. 0.8398 OC. 0.705 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 A. H₁ :p #0 OB. H₁: p=0 OC. H₁0 OD. H₁:#0 (d) The test statistic is
(d) The test statistic is A. 0.362 B. None of the other answers OC. 4.794 OD. 40.78 (e) The degrees of freedom are: OA. 20 OB. 22 OC. 19 OD. 21 (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is OA negative i OB. zero OC. positive OD. not zero
Adjusted R Square Standard Error Observations Intercept Midterm 0.668395 8.703633 22 On 0170 Coefficients Standard Error 40.14643 8.506861 0.762031 0.179029 (a) The slope of the regression line is OA. 4.377 OB. 0.762 C. 40.146 t Stat P-value Lower 95% 4.794266 0.001366 21.1673 4.376634 0.002365 0.362046 Upper 95% 60.40101 1.169078