Some people don’t gain weight even when they overeat. Perhaps fidgeting and other “nonexercise activity" (NEA) explains why – the body might spontaneously increase nonexercise activity when fed more. Researchers deliberately overfed 16 healthy young adults for 8 weeks. They measured fat gain (y, in kilograms) and increase in energy use (NEA) (x, in calories), as an explanatory variable, from activity other than deliberated exercise – fidgeting, daily living, and the like. Here are the data (sorted by NEA): NEA increase-94 -57 -29 135 143 151 245 355 ... 620 690 Fat gain 4.2 3.0 3.7 2.7 3.2 3.6 2.4 1.3 2.3 1.1 Assume that the model Fat gain = Bo +B,NEA increase +ɛ is reasonable. Selected SAS output are given here. Root MSE 0.73985 R-Square 0.6061 2.38750 Adj R-Sq 0.5780 Dependent Mean Coeff Var 30.98860 Parameter Estimates Variable DF Parameter Estimate Standard Error t Value Pr > [t]| Intercept 3.50512 0.30362 11.54 <.0001 nea 1 -0.00344 0.00074141 -4.64 0.0004 (a) Find the average fat gain (in grams) for these 16 healthy young adults. (b) Find the estimated standard error of the regression model. (c) Use the model to estimate, if appropriate, the fat gain for Max who has a NEA value of 1000 calories. Repeat the estimate for Jimmy, who has a NEA value of 500 calories.

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Some people don't gain weight even when they overeat. Perhaps fidgeting and other “nonexercise activity"
(NEA) explains why – the body might spontaneously increase nonexercise activity when fed more. Researchers
deliberately overfed 16 healthy young adults for 8 weeks. They measured fat gain (y, in kilograms) and increase
in energy use (NEA) (x, in calories), as an explanatory variable, from activity other than deliberated exercise –
fidgeting, daily living, and the like. Here are the data (sorted by NEA):
NEA increase
-94
-57
-29 135
143
151
245 355
620 690
Fat gain
4.2
3.0
3.7 2.7
3.2
3.6
2.4
1.3
2.3
1.1
Assume that the model Fat gain= Bo +B,NEA increase +ɛ is reasonable. Selected SAS output are given here.
0.73985 R-Square 0.6061
2.38750 Adj R-Sq 0.5780
Root MSE
Dependent Mean
Coeff Var
30.98860
Parameter Estimates
Variable
DF
Parameter Estimate
Standard Error
t Value
Pr > It|
Intercept
1
3.50512
0.30362
11.54
<.0001
1
-0.00344
0.00074141
-4.64
0.0004
nea
(a) Find the average fat gain (in grams) for these 16 healthy young adults.
(b) Find the estimated standard error of the regression model.
(c) Use the model to estimate, if appropriate, the fat gain for Max who has a NEA value of 1000 calories.
Repeat the estimate for Jimmy, who has a NEA value of 500 calories.
(d) Find the value of the coefficient of determination, and interpret it to the context.
Transcribed Image Text:Some people don't gain weight even when they overeat. Perhaps fidgeting and other “nonexercise activity" (NEA) explains why – the body might spontaneously increase nonexercise activity when fed more. Researchers deliberately overfed 16 healthy young adults for 8 weeks. They measured fat gain (y, in kilograms) and increase in energy use (NEA) (x, in calories), as an explanatory variable, from activity other than deliberated exercise – fidgeting, daily living, and the like. Here are the data (sorted by NEA): NEA increase -94 -57 -29 135 143 151 245 355 620 690 Fat gain 4.2 3.0 3.7 2.7 3.2 3.6 2.4 1.3 2.3 1.1 Assume that the model Fat gain= Bo +B,NEA increase +ɛ is reasonable. Selected SAS output are given here. 0.73985 R-Square 0.6061 2.38750 Adj R-Sq 0.5780 Root MSE Dependent Mean Coeff Var 30.98860 Parameter Estimates Variable DF Parameter Estimate Standard Error t Value Pr > It| Intercept 1 3.50512 0.30362 11.54 <.0001 1 -0.00344 0.00074141 -4.64 0.0004 nea (a) Find the average fat gain (in grams) for these 16 healthy young adults. (b) Find the estimated standard error of the regression model. (c) Use the model to estimate, if appropriate, the fat gain for Max who has a NEA value of 1000 calories. Repeat the estimate for Jimmy, who has a NEA value of 500 calories. (d) Find the value of the coefficient of determination, and interpret it to the context.
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Model is given as,

Fat gain=β0+β1NEA increase

SAS outputs are given,

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