Question 2.127

2.127 Predict some salaries

The individual whose salary we have been studying in Exercises 2.124 through 2.126 wants to do some financial planning. Specifically, she would like to predict her salary five years into the future, that is, for Year 25. She is willing to assume that her employment situation will be stable for the next five years and that it will be similar to the last 20 years.

raises

  1. Use the least-squares regression equation constructed to predict salary from year to predict her salary for Year 25.
  2. Use the least-squares regression equation constructed to predict log salary from year to predict her salary for Year 25. Note that you will need to convert the predicted log salary back to the predicted salary. Many calculators have a function that will perform this operation.
  3. Which prediction do you prefer? Explain your answer.
  4. Someone looking at the numerical summaries, and not the plots, for these analyses says that because both models have very high values of , they should perform equally well in doing this prediction. Write a response to this comment.
  5. Write a short paragraph about the value of graphical summaries and the problems of extrapolation using what you have learned from studying these salary data.

2.127

(a) $139,579. (b) The prediction is: , or $160,053.80. (c) The log prediction is better because the data are curved. (d) Even if is high, that doesn't mean a linear fit is appropriate. If the data follow a curve, a transformation is needed and should give an even higher . (e) Graphs can show you trends that numerical summaries cannot.