What is the Difference Between Logit and Probit Models?

Note: For a fuller treatment, download our online seminar Maximum Likelihood Estimation for Categorical Dependent Variables. Logit and probit models are appropriate when attempting to model a dichotomous dependent variable, e.g. yes/no, agree/disagree, like/dislike, etc. The problems with utilizing the familiar linear regression line are most easily understood visually. As an example, say we want to model whether somebody does or does not have Bieber fever by how much beer they’ve consumed.
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