A model that consists of independent variables forming a function of other variables is referred to as what?

The designation of a model comprising independent variables that form a function of other variables aligns with the definition of a general linear model. This type of model encompasses a broader framework than a simple linear model, which only involves a single independent variable. The general linear model allows for multiple independent variables and can express complex relationships through linear equations.

In practice, the general linear model is utilized in various statistical analyses, facilitating the evaluation of multiple influences on a dependent variable simultaneously. It can accommodate not just continuous independent variables but also categorical variables through techniques such as dummy coding.

This framework's flexibility is essential when analyzing data that may include interactions between variables or varying effects. Understanding this model is crucial for effectively interpreting data sets where more than one predictor influences an outcome, making it a widely used concept in both academic research and business applications.