General Linear Model

General Linear Model is a mathematical notation that represents DATA = MODEL + ERROR; for example, the GLM form of the null model is written as , the GLM form of a more complex model with an additional parameter is written as.

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• Empty Model

  Empty Model (Null Model) An empty model is a statistical model that describes a quantitative outcome variable using only a single overall value, typically the mean of the response. It is called empty because it contains no explanatory (predictor) ...

• Statistical Model

  A statistical model is a simplified way of describing how data are generated. It helps us separate what we can explain using known information from what we cannot explain perfectly. We use statistical models for three main purposes: (1) to understand ...

• complex model

  A complex model is a model with at least one explanatory variable.

• SS Model

  SS model is the reduction in error (measured in sums of squares) due to the model; the area of all the squared deviations based on the distance between the complex model predictions and the null model predictions.

• null model

  Null model uses the mean to model the distribution of a quantitative variable; called "null" because it does not have any explanatory variables; also called an empty model; sometimes referred to as a simple model because it is simpler than models ...