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

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

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

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.