# discussweek10

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• 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.

1. What is your research question?
2. Interpret the coefficients for the model, specifically commenting on the dummy variable.
3. 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?

Resources

Wagner, W. E. (2016).
Using IBMÂ® SPSSÂ® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.

• Chapter 2, â€œTransforming Variablesâ€ (pp. 14â€“32)
• Chapter 11, â€œEditing Outputâ€ (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
• Chapter 6, â€œWhat are the Assumptions of Multiple Regression?â€ (pp. 119â€“136)

• Chapter 7, â€œWhat can be done about Multicollinearity?â€ (pp. 137â€“152)

Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.

• Chapter 12, â€œDummy Predictor Variables in Multiple Regressionâ€