What is Multinomial Logistic Regression?

Multinomial logistic regression is a statistical technique used to analyze relationships between a categorical dependent variable with three or more categories and one or more independent variables. It is a type of regression analysis that helps to build a predictive model by estimating the probabilities of occurrence of a particular outcome. Unlike binary logistic regression, which deals with only two categories, multinomial logistic regression can handle more than two categories. It is commonly used in fields such as marketing, social sciences, and political science where researchers often encounter data with multiple possible outcomes.

This mind map was published on 23 May 2023 and has been viewed 104 times.