STAT 541: Logistic

Statistics 541: Logistic



Suppose Y is discrete (binary response) and X is one or more continuous variable(s). We want to write P(Y) as a function of X beta. This violates any sense of linear regression--so how do we proceed? Logistic regression uses P(Y) = logit(X beta). But why is this at all reasonable?

Normal distribution motivation

Consider a simple regression of Y (binary) on X (continuous).

Regression slopes review

Interpretation of the wrong-way two-sample t test model

Last modified: Tue Mar 20 11:44:50 2001