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| thermadrene, military body fat, pinnacle, low carb bars, tanitabody fat scales, fitness magazine, futrex, losing weight, self calibrating, cardio sport, not elsewhere classified, product review, educational, thermacare, stenandiol, towel, revolutionary, product reviews, natural, | They work in pairs on the following questions after I have given them some background on kids the variables in 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 kids these unusual cases? kids 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. Case 42, for instance, apparently weighs 205 pounds, but measures only 29.5 inches in height! Fortunately, we can infer the correct values from other variables in the file. The lean body weight or fat free weight of this individual is listed as 140.1 |
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| = water correction factor (equal to 1 at 39.2 degrees F because one gram of water occupies 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 educational given in Behnke and Wilmore (1974, p. 22 ff.). 3. Student Explorations 7 I have educational presented this dataset to my students after I have discussed multiple regression educational and have illustrated, in the lab with another dataset, some techniques that they might try (e.g., plots of dependent versus independent variables, residual plots, the use of transformations of the independent variables in the model) when trying to build a regression model. |
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