Lesson 7: Further Topics on Logistic Regression

Printer-friendly versionPrinter-friendly version

Logistic Regression: Further Topics

In the previous lesson we dealt with basic topics of logistic regression. Recall that logistic regression is a special type of regression where the probability of 'success' is modeled through a set of predictors. The predictors may be categorical, nominal or ordinal, or continuous. Logit or log odds of success is assumed to be a linear function of the predictors and such a model is fitted. This lesson deals with continuous covariates and model diagnostics for logistic regression.