What is another name for multinomial logistic regression?

What is another name for multinomial logistic regression?

• A. Binary logistic regression.
• B. Linear regression.
• C. Ordinal logistic regression.
• D. Multinomial logistic regression.

Answer: (D)

When you have a dependent variable with more than two categories that are not ordered, you use an approach that extends binary logistic regression. This model is commonly known as the multinomial logit model, or softmax regression in some contexts. It works by estimating the log-odds of each category against a reference category, and then converting these into probabilities that sum to one across all categories. The option that reflects this naming is the best choice because it uses the same concept and terminology as the model itself—multinomial logistic regression is essentially the multinomial logit model. The other options describe different methods: binary logistic regression handles only two outcomes, linear regression is for continuous outcomes, and ordinal logistic regression is for ordered categories.

When you have a dependent variable with more than two categories that are not ordered, you use an approach that extends binary logistic regression. This model is commonly known as the multinomial logit model, or softmax regression in some contexts. It works by estimating the log-odds of each category against a reference category, and then converting these into probabilities that sum to one across all categories.

The option that reflects this naming is the best choice because it uses the same concept and terminology as the model itself—multinomial logistic regression is essentially the multinomial logit model. The other options describe different methods: binary logistic regression handles only two outcomes, linear regression is for continuous outcomes, and ordinal logistic regression is for ordered categories.