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| features, caliper, togu, coaching, ellipticalls, cheapest, adipose tissue, salt, technology, compare prices, statistical, product reviews, belts, endurance, cla, body fat scales, dumb, | 22 ff.). 3. Student Explorations 7 I have presented this dataset to my students after I have discussed multiple regression and have illustrated, in the lab with another dataset, some techniques that they might fat burners try (e.g., plots of dependent versus independent variables, residual plots, the use of transformations fat burners of the independent variables in the model) when trying to build a regression model. They work in pairs on the following questions after I have given them some background on the variables in fat burners the dataset. 8 (a) Examine the data and note any unusual cases. Sort the cases, for example, by height, weight, and percentage of fat and note the distributions. What should be done, if anything, about these unusual cases? Suggest some rules for changing or deleting outliers. Comments: Much to the dismay of some students, there are a few apparent errors in the dataset. |
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| The technique of underwater weighing "computes body volume as the difference between body fat scales body weight measured in air and weight measured body fat scales during water submersion. In other words, body volume is equal to the loss of weight in water with the appropriate temperature correction for the water's density" (Katch and McArdle 1977, p. 113). Using this technique, Body density = W/[(W - WW)/c.f. - LV], where W = weight in air (kg) WW = weight in water (kg) c.f. = water correction factor (equal to 1 at 39.2 degrees F because one gram of water occupies body fat scales exactly one cm^3 at this temperature, equal to .997 at 76-78 degrees F) LV = residual lung volume (liters) (Katch and McArdle 1977, p. 115). The dataset provided here contains the weights of the subjects, but not the values of the three other quantities. Other methods of determining body volume are given in Behnke and Wilmore (1974, p. |
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