Ted Thorndike has been asked to pay another visit to the statistics class taught by his friend, Mary Stuart. One of the university€™s track athletes has an excellent chance to make the Olympics in the 1500 meters, known as the €œmetric mile,€ and Ted has brought along his laptop computer, a statistical package, and data on the world record for the one-mile run.
1. Fit a simple linear regression (Å· = b0 + b1x) to the time series.
2. Fit a polynomial regression equation (Å· = b0 + b1x + b2x2) to the time series.

3. Comparing the R2 values for the equations from parts 1 and 2, which equation is the better fit to the data?
4. Using the equation identified in question 3, what is the predicted world record for the one-mile run in the year 2015?

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