Skip to main content

The parameters of a regression model. Most commonly, the values by which the independent variables will be multiplied to get the predicted value of the dependent variable.

Given the following models, as examples, built from regression techniques: \begin{align} Y &= \beta_0 + \beta_1X + \varepsilon \\ Y &= \beta_0 X^{\beta_1} + \varepsilon \end{align} $\beta_0$ and $\beta_1$ are regression-coefficients (or parameters) on above equations (regression models).