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The Generalized Linear Model (GLM) is a powerful tool used in the field of statistics to analyze and predict outcomes using data. It is an extension of ordinary linear regression models and can be used to more accurately predict results from complex datasets than traditional methods. GLMs are useful for solving many types of problems, such as predicting customer preferences, forecasting sales, analyzing survey responses, and modeling medical outcomes.