Linear regression [Neurosurgery Wiki]

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====== Linear regression ======

In statistics, linear regression is an approach for modeling the relationship between a scalar dependent [[variable]] y and one or more explanatory variables (or [[independent variable]]s) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression.

(This term should be distinguished from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.)

[[Multiple linear regression]] is the most common form of [[linear regression]] analysis.  As a predictive analysis, the multiple linear regression is used to explain the relationship between one continuous dependent variable and two or more independent variables.  The independent variables can be continuous or categorical (dummy coded as appropriate).