The authors of the paper "Weight-Bearing Activity during Youth Is a More Important Factor for Peak Bone Mass than Calcium Intake" studied a number of variables they thought might be related to bone mineral density (BMD). The accompanying data on x = weight at age 13 and y = bone mineral density at age 27 are consistent with summary quantities for women given in the paper. Weight (kg) BMD (g/cm2) 54.4 1.15 59.3 1.26 74.6 1.42 62.0 1.06 73.7 1.44 70.8 1.02 66.8 1.26 66.7 1.35 64.7 1.02 71.8 0.91 69.7 1.28 64.7 1.17 62.1 1.12 68.5 1.24 58.3 1.00 A simple linear regression model was used to describe the relationship between weight at age 13 and BMD at age 27. The following values are given for this data. a = 0.5584 b = 0.0094 n = 15 SSTo = 0.356 SSResid = 0.31290 (a) What percentage of observed variation in BMD at age 27 can be explained by the simple linear regression model? (Round your answer to two decimal places.) % (b) Give an estimate of ?. (Round your answer to five decimal places.) Interpret this estimate. This is a typical deviation of a bone mineral density value in the sample from the value predicted by the least-squares line.This is an average of bone mineral density values in the sample from the value predicted by the least-squares line. This is an average of weight values in the sample from the value predicted by the least-squares line.This is a typical deviation of a weight value in the sample from the value predicted by the least-squares line. (c) Give an estimate of the average change in BMD associated with a 1 kg increase in weight at age 13. (Round your answer to four decimal places.) g/cm2 (d) Compute an estimate of the mean BMD at age 27 for women whose weight at age 13 was 72 kg. (Round your answer to three decimal places.) g/cm2
The authors of the paper "Weight-Bearing Activity during Youth Is a More Important Factor for Peak Bone Mass than Calcium Intake" studied a number of variables they thought might be related to bone mineral density (BMD). The accompanying data on x = weight at age 13 and y = bone mineral density at age 27 are consistent with summary quantities for women given in the paper. Weight (kg) BMD (g/cm2) 54.4 1.15 59.3 1.26 74.6 1.42 62.0 1.06 73.7 1.44 70.8 1.02 66.8 1.26 66.7 1.35 64.7 1.02 71.8 0.91 69.7 1.28 64.7 1.17 62.1 1.12 68.5 1.24 58.3 1.00 A simple linear regression model was used to describe the relationship between weight at age 13 and BMD at age 27. The following values are given for this data. a = 0.5584 b = 0.0094 n = 15 SSTo = 0.356 SSResid = 0.31290 (a) What percentage of observed variation in BMD at age 27 can be explained by the simple linear regression model? (Round your answer to two decimal places.) % (b) Give an estimate of ?. (Round your answer to five decimal places.) Interpret this estimate. This is a typical deviation of a bone mineral density value in the sample from the value predicted by the least-squares line.This is an average of bone mineral density values in the sample from the value predicted by the least-squares line. This is an average of weight values in the sample from the value predicted by the least-squares line.This is a typical deviation of a weight value in the sample from the value predicted by the least-squares line. (c) Give an estimate of the average change in BMD associated with a 1 kg increase in weight at age 13. (Round your answer to four decimal places.) g/cm2 (d) Compute an estimate of the mean BMD at age 27 for women whose weight at age 13 was 72 kg. (Round your answer to three decimal places.) g/cm2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Question
The authors of the paper "Weight-Bearing Activity during Youth Is a More Important Factor for Peak Bone Mass than Calcium Intake" studied a number of variables they thought might be related to bone mineral density (BMD). The accompanying data on
x = weight
at age 13 and
y = bone
mineral density at age 27 are consistent with summary quantities for women given in the paper.Weight (kg) | BMD (g/cm2) |
---|---|
54.4 | 1.15 |
59.3 | 1.26 |
74.6 | 1.42 |
62.0 | 1.06 |
73.7 | 1.44 |
70.8 | 1.02 |
66.8 | 1.26 |
66.7 | 1.35 |
64.7 | 1.02 |
71.8 | 0.91 |
69.7 | 1.28 |
64.7 | 1.17 |
62.1 | 1.12 |
68.5 | 1.24 |
58.3 | 1.00 |
A simple linear regression model was used to describe the relationship between weight at age 13 and BMD at age 27. The following values are given for this data.
a = 0.5584 b = 0.0094 n = 15
SSTo = 0.356 SSResid = 0.31290
SSTo = 0.356 SSResid = 0.31290
(a)
What percentage of observed variation in BMD at age 27 can be explained by the simple linear regression model? (Round your answer to two decimal places.)
%
(b)
Give an estimate of ?. (Round your answer to five decimal places.)
Interpret this estimate.
This is a typical deviation of a bone mineral density value in the sample from the value predicted by the least-squares line.This is an average of bone mineral density values in the sample from the value predicted by the least-squares line. This is an average of weight values in the sample from the value predicted by the least-squares line.This is a typical deviation of a weight value in the sample from the value predicted by the least-squares line.
(c)
Give an estimate of the average change in BMD associated with a 1 kg increase in weight at age 13. (Round your answer to four decimal places.)
g/cm2
(d)
Compute an estimate of the mean BMD at age 27 for women whose weight at age 13 was 72 kg. (Round your answer to three decimal places.)
g/cm2
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