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

Block-recursive regression equations are derived as the key to understanding the relation between two main approaches, between graphical chain models for continuous variables on the one hand and ...

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, ...

The regression line is a visual interpretation of the prediction equation. The regression line is the one line that minimizes the sum of squared deviations from the actual dependent variable values ...

Goodness-of-fit statistics for general multiple-linear-regression equations are reviewed for the case of replicated responses. A modification of the coefficient of determination is recommended. This ...

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable.