Fitting Linear Models • Model Specification • Examples of Model Specifications and Their Model Fits
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Examples of Model Specifications and Their Model Fits
This section gives templates for entering the effects for various model types that you can specify using the Construct Model Effects panel in the Fit Model platform.
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The model effects X and Z represent continuous columns.
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The model effects A, B, and C represent nominal or ordinal columns.
For most models, visual views of their model fits are also given.
 
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Simple Linear Regression
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Polynomial in X to Degree k
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Polynomial in X and Z to Degree k
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Multiple Linear Regression
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One-Way Analysis of Variance
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Two-Way Analysis of Variance
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Two-Way Analysis of Variance with Interaction
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Three-Way Full Factorial
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Analysis of Covariance, Equal Slopes
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Analysis of Covariance, Unequal Slopes
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Two-Factor Nested Random Effects Model
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Three-Factor Fully Nested Random Effects Model
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Simple Split Plot or Repeated Measures Model
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Two-Factor Response Surface Model
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Knotted Spline Effect

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Help created on 7/12/2018