Logistic regression is a common way to predict outcomes. Usually, it includes an intercept, but sometimes it's better without one. This hasn't been talked about much before. In this paper, the researchers looked at logistic regression without an intercept. They studied how to estimate results, different data situations, multicollinearity, and changing variables. They found that the results were similar whether using an intercept or not.