Dummy Variables, Regression Diagnostics, and Model Evaluation

 

-Analyze multiple regression testing using dummy variables

-Analyze measures for multiple regression testing

-Construct research questions

-Evaluate assumptions of multiple regression testing

-Analyze assumptions of correlation and bivariate regression

-Analyze implications for social change

Learning Resources
REQUIRED READINGS
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables”
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
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)

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