Objective:  This homework reviews the classical regression assumptions and the properties of the OLS estimators. I.   Assignment: a. What are the classical assumptions by which ordinary least squares (OLS) coefficient estimators become the "best" estimators available?  Describe in your own words. b.  What desirable properties should estimators of population parameters have?  Describe in your own words. c.   Why is it important for the classical assumptions to hold true if OLS is used?  If the classical assumptions apply, what desirable properties will OLS coefficient estimators have?  Describe in your own words.