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Hi there!  Glad to see that you are still here and are continuing

Hi there!  Glad to see that you are still here and are continuing

to support students!  I need help interpreting my SPSS output on the attached document.  I need to specifically respond to the following questions (based on my output):

-1. Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
-2. Create a research question using the General Social Survey dataset that can be answered by multiple regression. Using the SPSS software, choose a categorical variable to dummy code as one of your predictor variables.
-3.What is your research question?
-4.Interpret the coefficients for the model, specifically commenting on the dummy variable.
-5.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?Thanks so much!

RECODE race (1=1) (ELSE=0) INTO Race1.VARIABLE LABELSRace1 ‘White’.EXECUTE.RECODE race (1=1) (ELSE=0) INTO White.VARIABLE LABELSWhite ‘White’.EXECUTE.RECODE race (2=1) (ELSE=0) INTO Black.VARIABLE LABELSBlack ‘Black’.EXECUTE.RECODE race (3=1) (ELSE=0) INTO Other.VARIABLE LABELSOther ‘Other’.EXECUTE.REGRESSION/MISSING LISTWISE/STATISTICS COEFF OUTS R ANOVA COLLIN TOL/CRITERIA=PIN(.05) POUT(.10)/NOORIGIN/DEPENDENT sei10/METHOD=ENTER educ conrinc Black Other/SCATTERPLOT=(*ZPRED ,*ZRESID)/RESIDUALS DURBIN HISTOGRAM(ZRESID)/SAVE COOK ZRESID.RegressionNotesOutput Created02-AUG-2016 20:56:38CommentsInputDataC:\Users\D01064~1\AppData\Local\Temp\GSS2014_student_8210-8.savActive DatasetDataSet1Filter<none>Weight<none>Split File<none>N of Rows in Working DataFile2538Missing Value HandlingDefinition of MissingUser-defined missing values are treatedas missing.Cases UsedStatistics are based on cases with nomissing values for any variable used.
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SyntaxREGRESSION/MISSING LISTWISE/STATISTICS COEFF OUTS R ANOVACOLLIN TOL/CRITERIA=PIN(.05) POUT(.10)/NOORIGIN/DEPENDENT sei10/METHOD=ENTER educ conrinc BlackOther/SCATTERPLOT=(*ZPRED ,*ZRESID)/RESIDUALS DURBINHISTOGRAM(ZRESID)/SAVE COOK ZRESID.ResourcesProcessor Time00:00:00.69Elapsed Time00:00:01.24Memory Required2948 bytesAdditional Memory Requiredfor Residual Plots560 bytesVariables Created or ModifiedZRE_2Standardized ResidualCOO_2Cook’s Distance[DataSet1] C:\Users\D01064~1\AppData\Local\Temp\GSS2014_student_8210-8.savVariables Entered/RemovedaModelVariablesEnteredVariablesRemovedMethod1Other,RESPONDENTINCOME INCONSTANTDOLLARS,Black, HIGHESTYEAR OFSCHOOLCOMPLETEDb.Enter
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