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. It helps in identifying patterns, trends, and outliers within datasets by examining how various factors influence the outcome variable simultaneously. This method enables analysts to make predictions and understand the strength and direction of relationships among variables.
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