Multinomial Logistic Regression Table. Multinomial logistic regression is used to model nominal outcome variables in which the log odds of the outcomes are modeled as a linear combination of the predictor variables. Active 2 months ago.
In statistics multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems i e. The purpose of this page is to show how to use various data analysis commands. We calculated odds ratios in each of these 2x2 tables to obtain a measure of the degree to which the tax variable affects voting.
An important feature of the multinomial logit model is that it estimates k 1 models where k is the number of levels of the outcome variable.
This page uses the following packages. I have used the mlogit package to conduct a multinomial logistic regression. Multinomial logistic regression models how multinomial response variable y depends on a set of k explanatory variables x x 1 x 2 dots x k. Viewed 126 times 3.
