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Logistic regression
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===Generalizations=== This simple model is an example of binary logistic regression, and has one explanatory variable and a binary categorical variable which can assume one of two categorical values. [[Multinomial logistic regression]] is the generalization of binary logistic regression to include any number of explanatory variables and any number of categories.
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