To prepare:
• 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.
• 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. (I will email the data set, as the portal will not allow me to upload spss file).

Write 2 pages
Estimate a multiple regression model that answers your research question. Write your response to the following:
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?
Be sure to support your Main Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
References
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage
Publications. 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 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136))

Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage

Publications. 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 7, “What can be done about Multicollinearity?” (pp. 137–152))

Laureate Education (Producer). (2016). Dummy variables [Video file]. Baltimore, MD: Author.
(Transcript attached)

Laureate Education (Producer). (2016m). Regression diagnostics and model evaluation [Video
file]. Baltimore, MD: Author. (Transcript attached)

Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social
science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. (Ch 2, 12)

Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd
ed.). Thousand Oaks, CA: Sage Publications. Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. (Chapter 12, “Dummy Predictor Variables in Multiple Regression”).