2. In the above correlation matrix, what is the strongest correlation? What does the sign of the correlation tell us? Does this correlation allow us to say that there is a cause and effect relationship?

3. What does the correlation for year vs. value tell us? What does the correlation for year vs. highway mpg tell us? What does the correlation for weight vs. value tell us?

4. Remember that the r value for the data presented in the fitted line plot above was 0.78649895. Is the graph consistent with this value?

5. Remember that the r value for the data presented in the fitted line plot above was 0.10014221. Is the graph consistent with this value?

6. Remember that the r value for the data presented in the fitted line plot above was -0.96784097. Is the graph consistent with this value?

7. The ‘best’ fit line for the data is displayed in the graph above. What method do we use to determine this line? What does the vertical distance between the points and the line represent?

8. Should you use the ‘best’ fit line in the graph above to predict the highway mpg for a vehicle that weighs 7500 pounds? What would this be called?

9. Use the regression output to predict the highway mpg for a vehicle weighing 3000 pounds. Would you expect a large amount of error in this prediction?