Estimating Models Using Dummy Variables

Estimate a multiple regression model that answers your research question. Post your response to the following:

What is your research question?
Interpret the coefficients for the model, specifically commenting on the dummy variable.
Run diagnostics for the regression model. Does the model meet all of the assumptions? Be sure and comment on what assumptions were not met and the possible implications. Is there any possible remedy for one the assumption violations?

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT educ

/METHOD=ENTER grass Married

/SCATTERPLOT=(*ZRESID ,*ZPRED)

/RESIDUALS NORMPROB(ZRESID)

/SAVE COOK ZRESID.

 

 

 

Regression

 

 

Variables Entered/Removeda
Model Variables Entered Variables Removed Method
1 Married, SHOULD MARIJUANA BE MADE LEGALb . Enter
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED
b. All requested variables entered.

 

 

Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .184a .034 .033 3.031
a. Predictors: (Constant), Married, SHOULD MARIJUANA BE MADE LEGAL
b. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 506.689 2 253.344 27.582 .000b
Residual 14429.716 1571 9.185    
Total 14936.405 1573      
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED
b. Predictors: (Constant), Married, SHOULD MARIJUANA BE MADE LEGAL

 

 

Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 14.463 .240   60.171 .000    
SHOULD MARIJUANA BE MADE LEGAL -.843 .154 -.136 -5.463 .000 .991 1.009
Married .850 .154 .138 5.526 .000 .991 1.009
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

 

Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) SHOULD MARIJUANA BE MADE LEGAL Married
1 1 2.535 1.000 .01 .01 .06
2 .411 2.483 .03 .04 .94
3 .054 6.849 .95 .95 .00
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

Residuals Statisticsa
  Minimum Maximum Mean Std. Deviation N
Predicted Value 12.78 14.47 13.64 .568 1574
Std. Predicted Value -1.513 1.471 .000 1.000 1574
Standard Error of Predicted Value .121 .139 .132 .007 1574
Adjusted Predicted Value 12.76 14.49 13.64 .568 1574
Residual -13.628 7.223 .000 3.029 1574
Std. Residual -4.497 2.383 .000 .999 1574
Stud. Residual -4.501 2.386 .000 1.000 1574
Deleted Residual -13.655 7.238 .000 3.035 1574
Stud. Deleted Residual -4.529 2.389 .000 1.001 1574
Mahal. Distance 1.523 2.308 1.999 .331 1574
Cook’s Distance .000 .014 .001 .001 1574
Centered Leverage Value .001 .001 .001 .000 1574
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

 

 

 

 

Last Updated on February 11, 2019 by EssayPro