Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes? ) All the regression slopes do not equal zero. 2) We did not find significant evidence to conclude that at least one slope differs from zero. 3) At least one of the regression slopes does not equal zero. 4) All the regression slopes are equal to zero. 5) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes.
Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes? ) All the regression slopes do not equal zero. 2) We did not find significant evidence to conclude that at least one slope differs from zero. 3) At least one of the regression slopes does not equal zero. 4) All the regression slopes are equal to zero. 5) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes?
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Transcribed Image Text:Predictor
Constant
age
HR
time
s 6.891
Analysis of Variance
SOURCE
Regression
Error
Total
Coef
17.316
0.078
-0.369
-1.457
Stdev
26.136
0.208
0.226
0.766
R-sq 40.86%
DF
3
11
14
SS
360.94
522.36
883.29
t-ratio
0.66
0.37
-1.64
-1.9
MS
р
R-sq (adj) = 24.73%
120.31
47.49
0.5213
0.715
0.1302
0.08382
F
2.53
р
0.111
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