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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 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 OA. -0.8398 OB. 0.8398 Statistics (a) The slope of the regression line is OA. 0.757 OB. 4.373 OC. 0.177 O D. 40.541 0.70524 0.668395 8.703633 14 (b) The correlation coefficient is Coefficients Standard Error OC. H, :p *0 OC. None of the other answers OD. 0.705 OD. H₂H 0 t Stat P-value Lower 95% A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H₁ : BO OB. H₁ :p = 0 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 OA. -0.8398 OB. 0.8398 Statistics (a) The slope of the regression line is OA. 0.757 OB. 4.373 OC. 0.177 O D. 40.541 0.70524 0.668395 8.703633 14 (b) The correlation coefficient is Coefficients Standard Error OC. H, :p *0 OC. None of the other answers OD. 0.705 OD. H₂H 0 t Stat P-value Lower 95% A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H₁ : BO OB. H₁ :p = 0 Upper 95%

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 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 0.70524 0.668395 8.703633 14 (a) The slope of the regression line ist Coefficients Standard Error O A. 0.757 OB. 4.373 OC. 0.177 O D. 40.541 (b) The correlation coefficient is OB. H₁: p = 0 OA. -0.8398 OB. 0.8398 OC. None of the other answers O D. 0.705 OC. H₁ :p #0 OD. H₁:μ = 0 t Stat P-value Lower 95% A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H₁ : ³ 0 Upper 95% C
Transcribed Image Text: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 0.70524 0.668395 8.703633 14 (a) The slope of the regression line ist Coefficients Standard Error O A. 0.757 OB. 4.373 OC. 0.177 O D. 40.541 (b) The correlation coefficient is OB. H₁: p = 0 OA. -0.8398 OB. 0.8398 OC. None of the other answers O D. 0.705 OC. H₁ :p #0 OD. H₁:μ = 0 t Stat P-value Lower 95% A hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H₁ : ³ 0 Upper 95% C
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