(i) What is multicollinearity? What effects does it have on estimation and inference in the multiple regression models?
(ii)Explain briefly why the consequences of omitting an important variable from a regression are typically more serious than including a redundant one?
(iii) With the use of an example, explain the dummy variable trap and its consequences?