Interpreting Logistic Regression Interactions
Interpreting the coefficient estimators in a logistic regression is straightforward. The binary logistic regression model is y=logit(π)=ln(π1−π)=Xβ
A δ=x1−x0 unit change in x in a estimated regression ˆy=Xˆβ is associated with a δˆβ factor change in the log odds of y. More commonly, you take the exponent of the coefficient estimate and say a δ unit change is associated with a eδˆβ factor change in the odds of y (see my handbook).