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rope, oxygen, antioxidants, sustainablefisheries, repeatability, fatskin, ediet, inversion, shoppingforvitamins, cytodyne, senior centers, | Do you find any of these variables useful in fitting percentage of body fat? September 14, 1995 articles in The weight lifting 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 if weight lifting this variable is useful 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 weight lifting these other variables? 10 (c) (This question requires a tape measure and/or a scale.) Estimate 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? |
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In particular, it seems that the following changes (among others) are in order: Listed Apparently Correct Case Body Density Body Density ---- ------------ ------------------ 48 repeatability 1.0665 1.0865 76 1.0666 1.0566 96 1.0991 1.0591 Such errors help students become more aware of data integrity issues. Also note that case 182 is a particularly lean individual whose predicted percentage of body fat is repeatability negative according to Siri's and Brozek's equation and has been truncated to zero in the dataset. 9 (b) Choose one of the two percentage of body fat estimates, either Brozek's method or Siri's method. Fit this repeatability percentage of body fat in terms of some subset of the remaining variables excluding density, which is not easily measured. The researchers who collected these data, Penrose, Nelson, and Fisher (1985), built a regression model for fat free weight = (1 - fraction of body fat) * weight that used the variables weight, age, age^2, height, and (abdomen - wrist). |
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