How Link Functions Extend Linear Regression to Generalized Models

This article explains how the traditional linear regression assumption can be relaxed by using link functions to transform nonlinear outputs into linear responses, enabling more flexible generalized linear models for probabilities and count data.

Modelinggeneralized linear modellink function

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How Link Functions Extend Linear Regression to Generalized Models