Logistic regression is a type of regression analysis used for predicting the outcome of a categorical dependent variable based on one or more predictor variables. Unlike linear regression, which predicts a continuous outcome, logistic regression predicts the probability of a binary outcome, which can be coded as 0 or 1. This makes it suitable for binary classification problems, such as determining whether exposure to a particular toxin leads to a disease (yes/no) or whether a certain level of exposure is safe (safe/unsafe).
