Linear regression captures the relationship between two variables—for example, the relationship between the daily change in a company's stock prices and the daily change in trading volume.

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Jun Yan, Robert H. Aseltine, Jr., Ofer Harel, Comparing Regression Coefficients Between Nested Linear Models for Clustered Data With Generalized Estimating Equations, Journal of Educational and ...

If the relationship between two variables does not follow a straight line, nonlinear regression may be used instead. Linear and nonlinear regression both track a particular response from a set of ...