Multinomial logistic regression, Part 2: Multiple multinomial regression

In this video, Dr Heini Väisänen discusses multinomial logistic regression models with more than one explanatory variable. She shows how the results can be interpreted either as odds ratios or predicted probabilities. She also introduces principles of model selection, including the use of likelihood ratio tests. This video also looks at how likelihood ratio tests can be used and and how they can help us conclude which variables to keep in our model.