Chapter 19: Categorical, Curvilinear, and Non-Linear Regression Models

Overview

Dichotomous Independent Variables

Seeing Interaction Effects with the Prediction Profiler

Dichotomous Dependent Variable

Effect Summary

Whole Model Test

Parameter Estimates

Effect Likelihood Ratio Tests

Curvilinear and Non-Linear Relationships

Quadratic Models

Logarithmic Models

More Non-Linear Functions

Application

Overview

In the past several chapters, we have worked extensively with regression analysis. Two common threads have been the use of continuous data and of linear models. In this chapter, we introduce techniques to accommodate categorical data and to fit several common curvilinear patterns. Throughout this chapter, all the earlier concepts of inference, ...

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