You are given the following data, where X1X1 (final percentage in math class) and X2X2 (number of absences) are used to predict YY (standardized math test score in fifth grade):  YY X1X1 X2X2 375 88 3 480 98 0 310 61 5 450 89 1 345 70 3 410 72 1 465 92 2 350 70 3 370 75 4 390 80 1 420 80 2 350 78 3 415 95 2 Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places:      Intercept:   a=       Partial slope X1X1:   b1=       Partial slope X2X2:   b2=   Report sum of squares accurate to 3 decimal places:       SSreg=       SSTotal=  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=  Report the results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places):      t2=       P-value =

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Author:Amos Gilat
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You are given the following data, where X1X1 (final percentage in math class) and X2X2 (number of absences) are used to predict YY (standardized math test score in fifth grade): 

YY X1X1 X2X2
375 88 3
480 98 0
310 61 5
450 89 1
345 70 3
410 72 1
465 92 2
350 70 3
370 75 4
390 80 1
420 80 2
350 78 3
415 95 2

Determine the following multiple regression values.

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


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

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= 

Report the results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places): 
    t2=  
    P-value =  

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