empty model

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 than models that include at least one explanatory variable.

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    • 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 ...

    • 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.

    • 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.

    • statistical model

      A statistical model can help us (1) understand patterns in data, (2) predict what will happen in the future, and (3) improve the functioning of complex systems; there are many kinds of models, but the statistical model we focus on here generates a ...