The independent variables in multiple regression should not be correlated with each other.

Name: The independent variables in multiple regression should not be correlated with each other.
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This is known as the assumption of multicollinearity in multiple regression. When independent variables are correlated with each other, it becomes difficult to determine the unique contribution of each independent variable to the dependent variable.

The Independent Variables in Multiple Regression Should Not Be Correlated