In this chapter, you will learn how to:

12.1 Use multiple regression analysis to make controlled comparisons, demonstrating an understanding of partial regression coefficients.

12.2 Utilize multiple dummy variables in regression analysis and interpret the results.

12.3 Understand and assess interaction effects in multiple regression models.

12.4 Create effective visualizations to support multiple regression analysis.

12.5 Address practical challenges in multiple regression analysis, such as multicollinearity, model parsimony, and missing data.