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
ModelVariables EnteredVariables RemovedMethod
1Married, SHOULD MARIJUANA BE MADE LEGALb.Enter
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED
b. All requested variables entered.

 

 

Model Summaryb
ModelRR SquareAdjusted R SquareStd. Error of the Estimate
1.184a.034.0333.031
a. Predictors: (Constant), Married, SHOULD MARIJUANA BE MADE LEGAL
b. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

ANOVAa
ModelSum of SquaresdfMean SquareFSig.
1Regression506.6892253.34427.582.000b
Residual14429.71615719.185  
Total14936.4051573   
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED
b. Predictors: (Constant), Married, SHOULD MARIJUANA BE MADE LEGAL

 

 

Coefficientsa
ModelUnstandardized CoefficientsStandardized CoefficientstSig.Collinearity Statistics
BStd. ErrorBetaToleranceVIF
1(Constant)14.463.240 60.171.000  
SHOULD MARIJUANA BE MADE LEGAL-.843.154-.136-5.463.000.9911.009
Married.850.154.1385.526.000.9911.009
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

 

Collinearity Diagnosticsa
ModelDimensionEigenvalueCondition IndexVariance Proportions
(Constant)SHOULD MARIJUANA BE MADE LEGALMarried
112.5351.000.01.01.06
2.4112.483.03.04.94
3.0546.849.95.95.00
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

Residuals Statisticsa
 MinimumMaximumMeanStd. DeviationN
Predicted Value12.7814.4713.64.5681574
Std. Predicted Value-1.5131.471.0001.0001574
Standard Error of Predicted Value.121.139.132.0071574
Adjusted Predicted Value12.7614.4913.64.5681574
Residual-13.6287.223.0003.0291574
Std. Residual-4.4972.383.000.9991574
Stud. Residual-4.5012.386.0001.0001574
Deleted Residual-13.6557.238.0003.0351574
Stud. Deleted Residual-4.5292.389.0001.0011574
Mahal. Distance1.5232.3081.999.3311574
Cook’s Distance.000.014.001.0011574
Centered Leverage Value.001.001.001.0001574
a. Dependent Variable: HIGHEST YEAR OF SCHOOL COMPLETED

 

 

 

 

 

 

Last Updated on February 11, 2019