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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• 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 ...

• simple model

  A simple model is any model that is relatively more simple; in this course we typically compare relatively more complex models with one explanatory variable to a simple model that does not have any explanatory variables.

• empty model

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