Logistic regression is a generalized linear model (GLM) that defines a link function to connect the output from linear regression to the quantity of interest. Specifically, logistic regression uses the log odds to translate the unbounded real number from the linear regression to a probability between zero and one. The parameters inside the linear equationContinue reading “Logistic Regression”