Multiple linear regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables. This method helps in understanding how various factors collectively influence the outcome and allows for predictions based on multiple inputs. By examining the coefficients of the independent variables, it provides insight into their individual contributions to the dependent variable while controlling for the effects of other variables.
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