Advanced models

Advanced models describe the relationship between a response variable and multiple predictor terms.

An advanced model is built from simple terms, polynomial terms and their interactions.

Some common forms of advanced models are:

Type	Description
Simple regression	A single quantitative simple term (X).
Multiple regression	Two or more quantitative simple terms (X, Z)
Polynomial	A series of polynomial terms of the nth degree (X, X², X³...).
One-way ANOVA	A single categorical term (A).
Two-way ANOVA	Two categorical terms (A, B).
Two-way ANOVA with interaction	Two categorical terms and their interaction (A, B, A*B).
Fully factorial ANOVA	All the simple categorical terms and all the crossed interaction terms (A, B, C, AB, AC, BC, AB*C).
ANCOVA	One or more categorical terms and one or more quantitative terms (A, X) or (A, X, A*X).

Related tasks

Fitting a multiple linear regression

Performing ANOVA

Performing ANCOVA

Fitting an advanced linear model

Related reference

Simple regression models

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