Careful statistical studies often include examination of potential lurking varia
ID: 2973215 • Letter: C
Question
Careful statistical studies often include examination of potential lurking variables. This was true of the study of the effect of nonexercise activity (NEA) on fat gain (Example 2.18, page 108), our lead example in Section 2.3. Overeating may lead our bodies to spontaneously increase NEA (fidgeting and the like). Our bodies might also spontaneously increase their basal metabolic rate (BMR), which measures energy use while resting. If both energy uses increased, regressing fat gain on NEA alone would be misleading. Here are data on BMR and fat gain for the same 16 subjects whose NEA was examined earlier: Data Set The correlation between NEA and fat gain is . The slope of the regression line for predicting fat gain from NEA is kilogram per calorie. What is the correlation between BMR and fat gain? Fill in the blank: (Give your answer to three decimal places.) The correlation is _______ .Explanation / Answer
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