Learn how to use logistic regression to predict the probability of a binary outcome based on explanatory variables, and understand the assumptions and interpretations of the model.

This project uses multinomial logistic regression to model anti-immigrant attitudes based on social and political factors. Using ESS data, it analyzes how education, economic concerns, and perceived ...

Compare and contrast three types of regression models for categorical data : log-linear, logistic, and multinomial. Learn how to choose the best model for your research question.

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

A multinomial logistic regression (or multinomial regression for short) is used when the outcome variable being predicted is nominal and has more than two categories that do not have a given rank or ...