This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons or coding required.

A first Monte Carlo exercise illustrates the accuracy of the method for estimation and inference in a probit IV regression. A second exercise additionally illustrates statistical efficiency gains ...

The Brookbush Institute continues to enhance education with new courses, a modern glossary, an AI Tutor, and a client program generator. Brent D Brookbush Brookbush Institute ...