In the context of multiple regression analysis, multicollinearity occurs when two or more independent variables in a regression model are highly correlated. This can lead to issues such as inflated standard errors, making it difficult to determine the individual effect of each predictor variable. For the following statements regarding multicollinearity, identify which statement is true: