You are given the following data, where X1X1 (GRE total score) and X2X2 (undergraduate GPA) are used to predict YY (graduate GPA): YY X1X1 X2X2 3.3 115 2.7 4 130 2.6 3.2 125 2.8 3.1 90 2.8 3.2 135 3.5 3.8 125 3.6 3.2 105 3.1 3.6 110 3.5

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This problem is based on problems 18.1, 18.2, 18.9, & 18.10 from Lomax & Hahs-Vaughn, 3rd ed.

You are given the following data, where X1X1 (GRE total score) and X2X2 (undergraduate GPA) are used to predict YY (graduate GPA):
YY X1X1 X2X2
3.3 115 2.7
4 130 2.6
3.2 125 2.8
3.1 90 2.8
3.2 135 3.5
3.8 125 3.6
3.2 105 3.1
3.6 110 3.5
Determine the following multiple regression values.

Report intercept and slopes for regression equation accurate to 3 decimal places:
    Intercept:  a=a= 
    Partial slope X1X1:  b1=b1= 
    Partial slope X2X2:  b2=b2= 


Report sum of squares accurate to 3 decimal places:
    SSreg=SSreg= 
    SSres=SSres= 

Test the significance of the overall regression model (report F-ratio accurate to 3 decimal places and P-value accurate to 4 decimal places):
    F-ratio = 
    P-value = 

Report the variance of the residuals accurate to 3 decimal places:
    MSres=MSres= 

Report the standard error of the partial slope estimate for undergraduate GPA along with the test statistic (report answers accurate to 3 decimal places):
    s(b2)=s(b2)= 
    t2=t2= 
 
 
 
 
 
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