Part A: Identify and interpret in context the estimate of the slope for the least-squares regression line. (5 points)
Part B: Identify and interpret in context the correlation coefficient. (5 points)
Part C: A car weighing 2,684 pounds had an average fuel efficiency of 24.6 miles per gallon. What is this car’s residual? (5 points)
Part D: Estimate the weight of a vehicle whose fuel efficiency is 20.2 miles per gallon. (5 points)
Part E: Is this model the best fit for the data? Explain your reasoning. If a transformation is required, what is the equation for the new model? Show your work. (5 points)
Part F: Using the transformation you gave in Part E, what would be the new estimate for fuel efficiency of the vehicle weighing 2,684 pounds? What effect did this new model have on the residual, compared to the result you found in Part C? Show all work. (5 points)
