Generalized linear models extend ordinary regression to handle non-normal data like binary counts or rates. By linking a linear predictor to a response via a link function, GLMs analyze diverse outcomes in fields from medicine to marketing. Researchers, analysts, and data scientists benefit from its flexibility for hypothesis testing and prediction with skewed or categorical variables.
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