Conclusion: Learning More about Multiple Regression
This chapter provides only an elementary introduction to multiple regression, one of the most flexible and powerful research tools in the social sciences. It discusses only the situation in which a criterion variable is being predicted from continuous predictor variables, all of which display a linear relationship with the criterion. At this time, you might be ready to move on to a more comprehensive treatment of the topic, one that deals with curvilinear relationships, interactions among predictors, dummy coding, effect coding, and regression equations that contain both continuous and categorical predictor variables. Cohen, Cohen, West, and Aiken (2003), and Pedhazur (1982) provide authoritative ...
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