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 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 Coefficients Standard (a) The slope of the regression line is A. 4.378 OB. 40.66 OC. 0.717 OD. 0.175 t Stat P-value Lower CHE Upper
UD. 0.1/5 (b) The correlation coefficient is A. None of the other answers B. 0.705 C. 0.8398 D. -0.8398
Standard Error Observations 8.703633 14 Coefficients Standard t Stat P-value Lower CHEES Upper 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. H₁B #0 OC. H₁: p=0 OD. H₁ :p #0 Time Remaining: 02:13:25
Coefficients Standard (d) The test statistic is OA. 40.78 B. 4.794 C. 0.362 D. None of the other answers (e) The degrees of freedom are: t Stat P-value Lower ID Upper C
UU. None of the other answers (e) The degrees of freedom are: A. 12 OB. 11 O C. 13 D. 14 (f) At the 5% significance level it can be concluded that there is evidence to s
C. 13 D. 14 (f) At the 5% significance level it can be concluded that there is evidence to suggest the correlation coefficient is A. positive B. not zero C. zero D. negative stv A @ L (O Time Remaining