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This provides a link with the linear regression model, explains more deeply the difference between logit and probit and provides the basis for extention to Logit and Probit Models. □ Another criticism of the linear probability model is that the model assumes that the probability that Y.Simplicity: The equation of the logistic CDF is very simple, while the normal CDF involves an unevaluated integral. • This difference is trivial for dichotomous What about when we want to use binary variables as the dependent variable? It's possible to use OLS: = +. +⋯+. + where y is the dummy variable. This