Logistic Regression

Logistic regression is a statistical method used for analyzing the relationship between one or more predictor variables and a binary outcome or dependent variable. It is particularly useful for researchers in the fields of accounting, finance, and other business-related disciplines, as it can help predict the probability of events or outcomes, such as financial distress, fraud, or bankruptcy, based on relevant predictor variables. The key advantage of logistic regression is its ability to handle categorical response variables, making it suitable for analyzing binary classification problems.