Question

Difference between binary logistic regression and multinomial logistic regression

Answer 1

Answer:

Binary Logistic regression

Binary Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). ... Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables

Multinomial logistic regression

Multinomial logistic regression (often just called 'multinomial regression') is used to predict a nominal dependent variable given one or more independent variables. It is sometimes considered an extension of binomial logistic regression to allow for a dependent variable with more than two categories.

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