General linear model: Difference between revisions

Revision as of 05:13, 26 November 2018

Revision as of 18:46, 12 May 2019

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Hypothesis tests with the general linear model can be made in two ways: [[multivariate statistics|multivariate]] or as several independent [[univariate]] tests. In multivariate tests the columns of '''Y''' are tested together, whereas in univariate tests the columns of '''Y''' are tested independently, i.e., as multiple univariate tests with the same design matrix.

== MultipleComparison to multiple linear regression ==

{{mainfurther|Multiple linear regression}}

Multiple linear regression is a generalization of [[simple linear regression]] to the case of more than one independent variable, and a [[special case]] of general linear models, restricted to one dependent variable. The basic model for multiple linear regression is