Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

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

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

This study examines linear quantile regression models with GARCH-X errors. These models include the most popular generalized autoregressive conditional heteroscedasticity (GARCH) as a special case, ...