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, A*B, A*C, B*C, A*B*C). |
| ANCOVA | One or more categorical terms and one or more quantitative terms (A, X) or (A, X, A*X). |
From the Statistical Reference Guide for Analyse-it 6.24.0: https://analyse-it.com/docs/user-guide/fit-model/linear/advanced-models
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