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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, | Discuss, in particular, what the standard error means. What kind of error should a user of this model expect as opposed to the diet program prediction error for those folks who were diet program used to build the model? Comment: Before starting this lab I have already discussed the "incestuous" nature of the standard error value and how the model is likely diet program to give an error larger than the standard error for cases that were not used to build it. 12 (e) Estimate the percentage of American men with percentage of body fat less than 15% (the maximum for good health given by Bailey (1991) above). |
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| September 14, 1995 articles in The New England Journal of Medicine link high values of the adiposity index (weight/height^2), sometimes called the body mass index, to increased risk of premature death. See amazon if this variable is useful amazon in your model. Also try weight^1.2/height^3.3 as suggested in Abdel-Malek, et al. (1985). Why should one bother to fit percentage of body fat using these other variables? 10 (c) (This question requires a tape measure and/or a scale.) Estimate amazon the percentage of body fat for each member of your group using your regression model. Is this model appropriate for all the members of your group? How about for other people in class? What is the most general audience to which your model can be applied? (Note: 1 inch = 2.54 cm.) Comment: Most students see that the model should not be used for women; other students get into more subtle issues regarding the age of college students compared to the age of the men in the dataset. 11 (d) Comment on the accuracy of your model. |
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