When to use GLM?

The general linear model is a powerful tool that can be employed to characterize the interaction between two variables. This statistical framework not only provides insights into the nature of the relationship but also assesses its statistical significance.

A fundamental aspect of the general linear model lies in its capability to evaluate whether the observed link between the variables is merely coincidental or represents a genuine, meaningful connection. This determination is crucial for making informed decisions based on the data.

Furthermore, the model possesses predictive capabilities. Given a specific value or set of values for the independent variable(s), the general linear model enables us to estimate the expected value of the dependent variable. This predictive feature has widespread applications across various disciplines.

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