In: Statistics and Probability
Waist (in.) | Weight (lb) | Body Fat (%) |
32 | 175 | 6 |
36 | 181 | 21 |
38 | 200 | 15 |
33 | 159 | 6 |
39 | 196 | 22 |
40 | 192 | 31 |
41 | 205 | 32 |
35 | 173 | 21 |
38 | 187 | 25 |
38 | 188 | 30 |
33 | 188 | 10 |
40 | 240 | 20 |
36 | 175 | 22 |
32 | 168 | 9 |
44 | 246 | 38 |
33 | 160 | 10 |
41 | 215 | 27 |
34 | 159 | 12 |
34 | 146 | 10 |
44 | 219 | 28 |
hree percent of a man's body is essential fat; for a woman the percentage is closer to 12.5%. As the name implies, essential fat is necessary for a normal healthy body. Fat is stored in small amounts throughout the body. Too much fat, however, can be dangerous to your health. For men between 18 and 39 years old, a healthy percent of body fat ranges from 8% to 19%; for women of the same age, it's 21% to 32%. Measuring body fat can be tedious and expensive. The "standard reference" measurement is by dual-eneregy X-ray absorptiometry (DEXA), which involves two low-dose X-ray generators and takes from 10 to 20 minutes. Because of the time and expense involved with the DEXA method, health professionals would like to be able to make a useable prediction of body fat from easily measurable variables such as weight or waist size.
1) Determine the 99% confidence interval for the slope of the least squares regression line of %body fat on waist size.
2) Determine a 99% confidence interval for the mean %body fat found in people with 40-inch waists (use 2 decimal places).
3) Determine a 99% prediction interval for the %body fat of an individual with a 40-inch waist (use 2 decimal places).
Because of the time and expense involved with the DEXA method, health professionals would like to be able to make a useable prediction of body fat from easily measurable variables such as weight or waist size.
The estimated regression line is
Body fat = -62.557+2.222*waist.
99% confidence interval for the slope = (1.436, 3.007).
99% confidence interval for the mean %body fat = (22.57, 30.03)
99% prediction interval for the %body fat=(12.71, 39.89)
Excel Addon Megastat used.
Menu used: correlation/Regression ---- Regression Analysis.
Regression Analysis |
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r² |
0.787 |
n |
20 |
||||
r |
0.887 |
k |
1 |
||||
Std. Error of Estimate |
4.540 |
Dep. Var. |
Body Fat (%) |
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Regression output |
confidence interval |
||||||
variables |
coefficients |
std. error |
t (df=18) |
p-value |
99% lower |
99% upper |
|
Intercept |
a = |
-62.557 |
|||||
Waist (in.) |
b = |
2.222 |
0.273 |
8.144 |
1.90E-07 |
1.436 |
3.007 |
ANOVA table |
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Source |
SS |
df |
MS |
F |
p-value |
||
Regression |
1,366.790 |
1 |
1,366.790 |
66.32 |
1.90E-07 |
||
Residual |
370.960 |
18 |
20.609 |
||||
Total |
1,737.750 |
19 |
|||||
Predicted values for: Body Fat (%) |
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99% Confidence Interval |
99% Prediction Interval |
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Waist (in.) |
Predicted |
lower |
upper |
lower |
upper |
Leverage |
|
40 |
26.303 |
22.57 |
30.03 |
12.71 |
39.89 |
0.081 |
|