Multinomial Logistic Regression

Multinomial Logistic Regression is useful for situations in which you want to be able to classify subjects based on values of a set of predictor variables. This type of regression is similar to binary logistic regression, but is more general because the dependent variable is not restricted to two categories.

For example, you can conduct a survey in which participants are asked to select one of several competing products as their favorite. Using multinomial logistic regression, you can create profiles of people who are most likely to be interested in your product, and plan your advertising strategy accordingly.

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