![]() The number of values that the categorical variable can assume. The number of dummy variables required to represent a particular categorical variable depends on Typically, 1 represents the presence of a qualitative Variables are limited to two specific values, 1 or 0. As a practical matter, regression results are easiest to interpret when dummy Their range of values is small they can take Technically, dummy variables are dichotomous, quantitative variables. ![]() To the analysis is to express categorical variables as dummy variables.Ī dummy variable (aka, an indicator variable) is a numeric variable that represents categoricalĭata, such as gender, race, political affiliation, etc. In this lesson, we show how to analyze regression equations when one or more independent variables are Discriminant Analysis Dummy Variables in Regression.Linear Regession: Table of Contents Introduction
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