A logit model, often referred to as logistic regression, is another type of regression for binary outcomes. Unlike the probit model, the logit model uses the logistic function to model the probability of the dependent variable. This function is an S-shaped curve, which is particularly handy for predicting probabilities that lie between 0 and 1.
