p uelween the statistics of practice games and official games of a local soccer team. A sample of 12 playe wes used and the resulting (partial) Excel output is shown below. Assume both x and y form normal distributions. Regression Multiple R RSquare Adjusted R Square 0.668395 Statistics 0.70524 Standard Error 8.703633 Observations 12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 40.84907 8.506861 4.794266 21.1673 0.001366 0.002365 60.40101 Midterm 0.70858 0.178907 4,372309 0.362048 1.169078 (a) The slope of the regression line is O A. 40.849 O B. 4.372 O C. 0.709 OD. 0.177 (b) The correlation coefficient is O A. 0.705 O B. 0.8398 O C. -0.8398 O D. 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 O A. H p# 0 O B. H, p = 0 OC. H, p = O OD Hi P 0 (d) The test statistic is O A. 0.362 OB. 4.794 C. None of the other answers 4079

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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 12 players
wES used and the resulting (partial) Excel output is shown below. Assume both x and yform normal distributions.
Statistics
Regression
Multiple R
RSquare
Adjusted R Square 0.668395
Standard Eror
Observations:
0.70524
8.703633
12
Coefficients Standard
Error
40.84907 8.506861
0.70858
t Stat
P-value
Lower
95%
21.1673
0.362046
Upper
95%
60.40101
1.169078
Intercept.
Midterm
4.794266
4,372309
0.001366
0.002365
0.176907
(3) The slope of the regression line is
OA. 40.849
O B. 4.372
OC. 0.709
O D. 0.177
(b) The correlation coefficient is
OA. 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
OB. H, :p= 0
OC H, p=0
OD. Hr 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. A sample of 12 players wES used and the resulting (partial) Excel output is shown below. Assume both x and yform normal distributions. Statistics Regression Multiple R RSquare Adjusted R Square 0.668395 Standard Eror Observations: 0.70524 8.703633 12 Coefficients Standard Error 40.84907 8.506861 0.70858 t Stat P-value Lower 95% 21.1673 0.362046 Upper 95% 60.40101 1.169078 Intercept. Midterm 4.794266 4,372309 0.001366 0.002365 0.176907 (3) The slope of the regression line is OA. 40.849 O B. 4.372 OC. 0.709 O D. 0.177 (b) The correlation coefficient is OA. 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 OB. H, :p= 0 OC H, p=0 OD. Hr P # 0 (d) The test statistic is O A. 0.362 B. 4.794 D C. None of the other answers, OD. 40.78
(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
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