Multiple linear regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables by fitting a linear equation to observed data. This method allows for understanding how multiple factors simultaneously influence an outcome, making it essential for predicting values and analyzing trends in various fields.
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