Multiple Regression

Multiple regression is a statistical technique used to model the relationship between a dependent variable and two or more independent variables. It is an extension of simple linear regression, which models the relationship between a dependent variable and a single independent variable. In multiple regression, the goal is to find the best linear equation that predicts the value of the dependent variable based on the values of the independent variables. This is done by estimating the coefficients of the independent variables in the equation using a method called least squares. Multiple regression is commonly used in data science to analyze and model complex relationships between variables, and to make predictions based on those relationships.
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