# Multinomial logistic regression

Multionmial logistic regression extends the model we use for typical binary logistic regression to a categorical outcome variable with more than two categories.

**Binary, Ordinal, and Multinomial Logistic Regression for Categorical Outcomes**

Multinomial logistic regression (often just called 'multinomial regression') is used to predict a nominal dependent variable given one or more independent.

Multinomial Logistic. Regression Models. Polytomous responses. Logistic regression can be extended to handle responses that are polytomous, i.e.

Multinomial Logistic Regression is the regression analysis to conduct when the dependent variable is nominal with more than two levels. Similar to multiple. Multinomial Logistic Regression is a statistical test used to predict a single categorical variable using one or more other variables. By default, the Multinomial logistic regression procedure produces a model with the factor and covariate main effects, but you can specify a custom model or.

### VIDEO

Multinominal logistic regression, Part 1: Introduction### Multinomial logistic regression (often just called 'multinomial regression') is used to predict a nominal dependent variable given one or more independent.: Multinomial logistic regression

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