Logit regression

Logit regression is regression analysis with a nominal dependent variable. There are only two outcomes possible, which means this is a binomial distributed variable. The error term is no longer normally distributed as in linear regression but follows a binomial distribution. Below, the summary describes logit regression using the bigfive dataset, the exercises can be downloaded, the imc dataset is used in the exercises, and I give the solutions.