Multiple Regression Analysis
Multiple Regression Analysis 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 only considers one independent variable. Multiple regression analysis helps to identify the strength and direction of the relationships between the variables, and to predict the value of the dependent variable based on the values of the independent variables. The technique involves estimating the coefficients of the independent variables, which represent the change in the dependent variable for a unit change in the independent variable, while holding all other independent variables constant. The analysis also includes testing the statistical significance of the coefficients and assessing the overall fit of the model.
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