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| amazon, weekend warrior, borage seed oil, police & fire departments, medical supplies, fish oil, well being, skinfold measurements, health & nutrition, diet planner, &, steroid alternatives, lunch, rec centers, dieting, exercise software, | 14 Why is the resulting error estimate (the standard deviation in iv.) a better estimate of the true error that one should expect in using the model than the standard error? Discuss the advantages and disadvantages of this alternative cross-validation workout towel procedure compared to what Penrose, Nelson, and Fisher did. 15 In keeping with the other data workout towel analysis labs undertaken during the term, I serve as a resource/coach for student pairs during the class workout towel period in which they initially look at these data. After this class period the student pairs arrange to meet outside of class to continue their analysis and eventually write up their findings in a polished, word-processed report. Further details may be found in Egge, Foley, Haskins, and Johnson (1994, 1995). |
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| What assumptions did you make? 13 (f) (Advanced) Penrose, Nelson, and Fisher (1985) built their regression model using weekend warrior just the first 143 cases of the 252 cases in the dataset. The remaining 109 cases were used to get a true estimate of the error of the model (c.f. question d). Here is an alternative "cross-validation" approach to error estimation I would like you to consider (but do not actually perform): i. Build a regression model using all weekend warrior 252 cases. ii. Using weekend warrior the model (i.e., variables) above, refit the model coefficients using all the cases but the first and record the error in body fat using this model on the first case. iii. Repeat ii., leaving out, in turn, just the second, just the third, ... , just the 252nd case, each time recording the error. iv. Compute the standard deviation of the 252 errors to provide an estimate of the accuracy of the model. |
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