Practical Data Analysis with JMP, Second Edition, 2nd Edition

19 Categorical, Curvilinear, and Non-Linear Regression Models

Overview

Dichotomous Independent Variables

Dichotomous Dependent Variable

Whole Model Test

Parameter Estimates

Effect Likelihood Ratio Tests

Curvilinear and Non-Linear Relationships

Quadratic Models

Logarithmic Models

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 of the earlier concepts of inference, residual analysis, and model fitting still hold true. We’ll concentrate here on issues of model specification ...