Maurice Tutor

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Teaching Since: May 2017
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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 04 Nov 2017 My Price 7.00

lurking variable

 

TIEONHAAULL

2.91                                              GNECCA lurking variable. The effect of a lurking variable can be surprising

when individuals are divided into groups. In recent years, the mean SAT score of all high school seniors has increased. But the mean SAT score has decreased for students at each level of high school grades (A, B, C, and so on). Explain how grade inflation in high school (the lurking variable) can account for this pattern. A relationship that holds for each group within a population need not hold for

 

would be misleading. Here are data on BMR and fat gain for the same 16 subjects whose NEA we examined earlier:

 

BMR increase (cal)

117

352

244  −42

−3

134

136

−32

Fat gain (kg)

4.2

3.0

3.7     2.7

3.2

3.6

2.4

1.3

 

 

 

 

 

 

 

 

BMR increase (cal)

−99

9

−15  −70

165

172

100

35

Fat gain (kg)

3.8

1.7

1.6     2.2

1.0

0.4

2.3

1.1

 

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.

 

Answers

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Status NEW Posted 04 Nov 2017 05:11 PM My Price 7.00

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