The following data set, Practice Problem10.xls . gives the bone strengths of the dominant and the nondominant arms for 15 men who were controls in a study. The least-squares regression line for these data is dominant = 2.74 + (0.936 x nondominant) Calculate the residual ID 9.
The following data set, Practice Problem10.xls . gives the bone strengths of the dominant and the nondominant arms for 15 men who were controls in a study. The least-squares regression line for these data is dominant = 2.74 + (0.936 x nondominant) Calculate the residual ID 9.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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, provides the bone strengths of the dominant and nondominant arms for 15 men who were controls in a study. The least-squares regression line for these data is given by the equation:
\[ \text{dominant} = 2.74 + (0.936 \times \text{nondominant}) \]
Calculate the residual for ID 9.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6f0561ea-00fb-4c75-a2e9-c26d09539570%2F41baaa77-6a28-46a4-bb07-f90c0e6e5688%2F95ifirv_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following data set, [Practice_Problem10.xls](#), provides the bone strengths of the dominant and nondominant arms for 15 men who were controls in a study. The least-squares regression line for these data is given by the equation:
\[ \text{dominant} = 2.74 + (0.936 \times \text{nondominant}) \]
Calculate the residual for ID 9.

Transcribed Image Text:Below is the transcribed data from the image, which consists of three columns labeled ID, X, and Y:
| ID | X | Y |
|----|------|------|
| 1 | 23.07| 35.49|
| 2 | 19.88| 30.38|
| 3 | 18.83| 26.13|
| 4 | 22.09| 31.85|
| 5 | 17.19| 26.77|
| 6 | 20.72| 29.00|
| 7 | 18.10| 28.92|
| 8 | 18.01| 26.30|
| 9 | 18.69| 29.49|
| 10 | 30.00| 50.00|
| 11 | 18.05| 31.36|
| 12 | 18.85| 28.77|
| 13 | 19.96| 31.17|
| 14 | 17.87| 27.74|
| 15 | 20.20| 30.01|
| 16 | 20.65| 29.61|
| 17 | 20.32| 31.78|
| 18 | 21.37| 32.93|
| 19 | 17.31| 30.29|
| 20 | 23.50| 28.57|
| 21 | 22.02| 29.80|
This table contains 21 entries, each with a unique identifier (ID), and associated values for X and Y, which could represent variables in a scientific or mathematical context. There are no graphs or diagrams included in the image.
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