1) Explain what regression gives us that correlation does not and explain the relationship between the correlation coefficient and the coefficient of determination.

2) If the regression is our measure of the center (the central tendency among a set of x,y data value pairs), what is the measure of spread and how is that calculated?

3) How could you use regression analysis to predict something of interest in your personal life or work? If you did this, how would you explain it to friends or colleagues?

4) What are some of the common errors or problems we need to check for before buying the results of a regression analysis and how would you avoid those types of errors? Be sure to mention how you would check your data to see if it meets the assumptions of using regression and then write the rest of your answer. Write this essentially as a note of warning to yourself for what to watch out for when performing regression analysis and what to watch out for when reading published regression results.

900 words