In judging the fit of the estimated response function in Example 7.5, we could use MAD (mean absolute deviation) instead of RMSE. MAD is the average of the absolute prediction errors. a. When you run...

In judging the fit of the estimated response function in Example 7.5, we could use MAD (mean absolute deviation) instead of RMSE. MAD is the average of the absolute prediction errors.

a. When you run Solver with MAD as your objective, do you get approximately the same estimated response function as with RMSE?

 b. Repeat part a, but do it with the outliers in parts a and b of the previous problem. Report your results in a brief memo.