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General linear model
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== Applications == An application of the general linear model appears in the analysis of multiple [[brain scan]]s in scientific experiments where {{var|Y}} contains data from brain scanners, {{var|X}} contains experimental design variables and confounds. It is usually tested in a univariate way (usually referred to a ''mass-univariate'' in this setting) and is often referred to as [[statistical parametric mapping]].<ref>{{Cite journal |last1=Friston |first1=K.J. |last2=Holmes |first2=A.P. |last3=Worsley |first3=K.J. |last4=Poline |first4=J.-B. |last5=Frith |first5=C.D. |last6=Frackowiak |first6=R.S.J. |year=1995 |title=Statistical Parametric Maps in functional imaging: A general linear approach |journal=Human Brain Mapping |volume=2 |pages=189β210 |issue=4 |doi=10.1002/hbm.460020402 |s2cid=9898609}}</ref>
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