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, 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). |
Related tasks
Related reference
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
