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HIS tO see the relationship between the statistics of practice games and official games of a local soccer team. Asample of 12 playe es used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Statistics Regression fultiple R R Square Adjusted R Square 0.668395 Standard Error Observations 0.70524 8.703633 12 t Stat Coefficients Standard Error P-value Lower 95% Upper 95% ntercept 40.84907 8.506881 4.794266 0.001366 21.1673 60.40101 lidterm 0.70858 0.176907 4.372309 0.002365 0.362046 1.169078 ) The slope of the regression line is DA. 40.849 OB. 4.372 DC. 0.709 OD. 0.177 ) The correlation coefficient is OA. 0.705 DB. 0.8398 DC. -0.8398 O D. None of the other answers hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. E) The alternate hypothesis is DA. Hi p 0 OB. H, p= 0 DC. H p = 0 OD. H1 B# 0 d) The test statistic is OA. 0.362 1704

HIS tO see the relationship between the statistics of practice games and official games of a local soccer team. Asample of 12 playe es used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Statistics Regression fultiple R R Square Adjusted R Square 0.668395 Standard Error Observations 0.70524 8.703633 12 t Stat Coefficients Standard Error P-value Lower 95% Upper 95% ntercept 40.84907 8.506881 4.794266 0.001366 21.1673 60.40101 lidterm 0.70858 0.176907 4.372309 0.002365 0.362046 1.169078 ) The slope of the regression line is DA. 40.849 OB. 4.372 DC. 0.709 OD. 0.177 ) The correlation coefficient is OA. 0.705 DB. 0.8398 DC. -0.8398 O D. None of the other answers hypothesis test is done to determine whether the correlation coefficient is significantly different from zero. E) The alternate hypothesis is DA. Hi p 0 OB. H, p= 0 DC. H p = 0 OD. H1 B# 0 d) The test statistic is OA. 0.362 1704

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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(d) The test statistic is O A. 0.362 B. 4.794 O C. None of the other answers OD. 40.78 (e) The degrees of freedom are OA 11 OB. 9 OC 12 OD. 10 () At the 5% significance level it can be concluded that thereis evidence to suggest the correlation.coefficient is OA negative OB. positive TC zero O D. not zero
Transcribed Image Text:(d) The test statistic is O A. 0.362 B. 4.794 O C. None of the other answers OD. 40.78 (e) The degrees of freedom are OA 11 OB. 9 OC 12 OD. 10 () At the 5% significance level it can be concluded that thereis evidence to suggest the correlation.coefficient is OA negative OB. positive TC zero O D. not zero
Regression. A coach wants to see the relationship between the statistics of practice games and official games of a local soccer team. Asample of 12 players wES used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Statistics Regression Multiple R RSquare Adjusted R Square 0.668395 Standard Eror Observations: *** 0.70524 8.703633 12 Coefficients Standard Eror Stat P-value Lower 95% Upper 95% 60.40101 1.169078 Intercept. Midterm 40.84907 8.506861 4.794266 4,372309 0.001366 0.002365 21.1673 0.70858 0.176907 0.362046 (3) The slope of the regression line is OA. 40.849 O B. 4.372 OC. 0.709 OD. 0.177 (b) The correlation coefficient is O A. 0.705 OB. 0.8398 OC. 0.8398 OD None of the other answers, Ahypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H :p#0 O B. H, p = 0 OC. H, p=0 OD. H p#0 (d) The test statistic is O A. 0.362 B. 4.794 D C. None of the other answers, OD. 40.78
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. Asample of 12 players wES used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Statistics Regression Multiple R RSquare Adjusted R Square 0.668395 Standard Eror Observations: *** 0.70524 8.703633 12 Coefficients Standard Eror Stat P-value Lower 95% Upper 95% 60.40101 1.169078 Intercept. Midterm 40.84907 8.506861 4.794266 4,372309 0.001366 0.002365 21.1673 0.70858 0.176907 0.362046 (3) The slope of the regression line is OA. 40.849 O B. 4.372 OC. 0.709 OD. 0.177 (b) The correlation coefficient is O A. 0.705 OB. 0.8398 OC. 0.8398 OD None of the other answers, Ahypothesis test is done to determine whether the correlation coefficient is significantly different from zero. (c) The alternate hypothesis is OA. H :p#0 O B. H, p = 0 OC. H, p=0 OD. H p#0 (d) The test statistic is O A. 0.362 B. 4.794 D C. None of the other answers, OD. 40.78
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