Multinomial Logistic Regression. For our data analysis example we will expand the third example using the hsbdemo data set. People s occupational choices might be influenced by their parents.
Like binary logistic regression multinomial logistic regression uses maximum likelihood estimation to evaluate the probability of categorical membership. It is sometimes considered an extension of binomial logistic regression to allow for a dependent variable with more than two categories. Multinomial logistic regression is the regression analysis to conduct when the dependent variable is nominal with more than two levels.
That is it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable given a set of independent variables.
Multinomial logistic regression is an extension of logistic regression that adds native support for multi class classification problems. For our data analysis example we will expand the third example using the hsbdemo data set. With more than two possible discrete outcomes. In statistics multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems i e.
