Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It works by fitting a linear equation to observed data, where the equation's coefficients represent the strength and direction of the relationship. The goal is to predict the dependent variable based on the values of the independent variables, making it a fundamental tool in predictive analysis and data modeling.

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