In multiple linear regression, what does each coefficient represent?
- The average change in the dependent variable for one unit of change in the independent variable, holding all other independent variables constant
- The correlation between the dependent variable and the independent variable
- The error term in the regression model
- The total variation in the dependent variable explained by the independent variable
In multiple linear regression, each coefficient represents the average change in the dependent variable for one unit of change in the independent variable, while holding all other independent variables constant.
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