Generalized Linear Models

Generalized Linear Models is a generalization of the General Linear Model.

In its simplest form, a linear model specifies the linear relationship between a dependent variable (Y) and a set of predictor variables (X). However, many relationships cannot adequately be summarized by a simple linear equation. GLZ offers a variety of distributions to select for Y as well as a link function, creating a nonlinear relationship between X and Y.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.