Question
please show work, see data attached
Question 5 (25pts) Suppose the athletic director at a university would like to develop a regression model to predict the poin
Point_Differential_(y) 12 23 -7 13 5 Assists_(x1) 10 161 14 8 16 8 4 13 8 Rebounds_(x2) 18 12 30 12 12 14 20 30 12 17 Turnove
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Answer #1
Point Differential(y) Assist (xl) Rebounds(x2) Turnovers(x3) Personal FoulsL(x4)
1.00 10.00 18.00 17.00 26.00
12.00 16.00 12.00 17.00 15.00
23.00 14.00 30.00 13.00 15.00
-7.00 8.00 12.00 18.00 22.00
13.00 16.00 12.00 13.00 12.00
5.00 8.00 14.00 12.00 17.00
2.00 4.00 20.00 20.00 20.00
17.00 13.00 30.00 15.00 26.00
-5.00 8.00 12.00 15.00 21.00
9.00 9.00 17.00 11.00 19.00
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.973513241
R Square 0.947728031
Adjusted R Square 0.905910456
Standard Error 2.938593082
Observations 10
ANOVA
df SS MS F Significance F
Regression 4 782.8233535 195.7058384 22.66339031 0.002104817
Residual 5 43.1766465 8.635329299
Total 9 826
Coefficients Standard Error t Stat P-value Lower 90.0% Upper 90.0%
Intercept 0.737987697 8.134576792 0.090722322 0.931235556 -15.65357804 17.12955343
Assist (xl) 0.990377725 0.291836708 3.39360231 0.019385267 0.402312642 1.578442808
Rebounds(x2) 0.929484754 0.153401136 6.059177757 0.001766728 0.620374043 1.238595464
Turnovers(x3) -0.399408391 0.382229043 -1.044945169 0.343911799 -1.169618402 0.370801619
Personal FoulsL(x4) -0.759419949 0.269283053 -2.820155006 0.037101857 -1.302038326 -0.216801572
(a) Regression model y= 0.738+0.990x1 +0.929x2 -0.3999x3-0.759x4
(b) H0 :  There is no relationship between the X (x1,x2,x3,x4) variables and the y variable
H1 :  There is a relationship between the X (x1,x2,x3,x4) variables and the y variable
( c) Test statistic for
t Stat =
Assist (xl) 3.39
Rebounds(x2) 6.06
Turnovers(x3) -1.04
Personal FoulsL(x4) -2.82
(d) critical value of
t (0.10) and 9df =

1.833

( e) p value for
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