However, it has been argued that in many cases multiple regression analysis fails to clarify the relationships between the predictor variables and the response variable when the predictors are correlated with each other and are not assigned following a study design.[9] Commonality analysis may be helpful in disentangling the shared and unique impacts of correlated independent variables.[10]