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Logistic Regression
Logistic regression
Introduction

Logistic regression is a technique that allows categorical response variables which have binomial errors to be modelled using a regression analysis. Although logistic regression may be applied to data representing proportions (for example, a two-column matrix indicating each of two outcomes (success and failure), see Fox, 2002 and Crawley, 2005), this entry deals with modelling a dichotomous response variable. Binary categorical variables are common in management research and can indicate, for example, whether someone will make a purchase or not or whether a certain course of action has been a success. Logistic regression is a particularly important technique not only because it provides a method of modelling these data but also because it is central to understanding the wider application of the ...

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