Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

Nothing is set in stone with a regression model, but if the data you feed it is very good, the prediction will be good, too. What sort of data is required for machine learning regression?

Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

Comparing regression coefficients between models when one model is nested within another is of great practical interest when two explanations of a given phenomenon are specified as linear models. The ...