10. Below is computer output from the least squares regression analysis on the body mass index, BMI, and percent body fat for 10 randomly selected adult males. Which of the following represents the 95% confidence interval for the slope of the regression line relating BMI and percent body fat for the population of adult males? Predictor Constant Сoef SE Coef 2.786 -20.096 -7.213 0.000 BMI 1.695 0.2280 7.432 0.000 S = 3.195 R-Sq = 87.3% R-Sq(adj)=86.8% %3D

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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10. Below is computer output from the least squares regression analysis on the
body mass index, BMI, and percent body fat for 10 randomly selected adult
males. Which of the following represents the 95% confidence interval for the
slope of the regression line relating BMI and percent body fat for the population
of adult males?
Predictor
Coef
SE Coef
P
Constant
-20.096
2.786
-7.213
0.000
BMI
1.695
0.2280
7.432
0.000
S = 3.195
R-Sq = 87.3%
R-Sq(adj)=86.8%
%3D
(A) –20.096 ± 2.21(2.786)
(B) 1.695 ± 7.432(0.2280)
(C) 1.695 ±2.306(0.2280)
(D) 1.695 ± 2.262(0.2280)
(E) 1.695 ± 2.228(0.2280)
Transcribed Image Text:10. Below is computer output from the least squares regression analysis on the body mass index, BMI, and percent body fat for 10 randomly selected adult males. Which of the following represents the 95% confidence interval for the slope of the regression line relating BMI and percent body fat for the population of adult males? Predictor Coef SE Coef P Constant -20.096 2.786 -7.213 0.000 BMI 1.695 0.2280 7.432 0.000 S = 3.195 R-Sq = 87.3% R-Sq(adj)=86.8% %3D (A) –20.096 ± 2.21(2.786) (B) 1.695 ± 7.432(0.2280) (C) 1.695 ±2.306(0.2280) (D) 1.695 ± 2.262(0.2280) (E) 1.695 ± 2.228(0.2280)
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