Careful statistical studies often include examination of


Basal metabolic rate. 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 4.16, page 177), our lead example in Section 4.3. 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 is a measure of energy use while resting. If both energy uses increase, regressing fat gain on NEA alone would be misleading. Here are data on BMR and fat gain for the same 16 subjects whose NEA we examined earlier:

1425_Basal metabolic rate.png

The correlation between NEA and fat gain is r = -0.7786. The slope of the regression line for predicting fat gain from NEA is b1 = -0.00344 kilogram per calorie. What are the correlation and slope for BMR and fat gain? Explain why these values show that BMR has much less effect on fat gain than does NEA.

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Basic Statistics: Careful statistical studies often include examination of
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