1. Fit the following data in a linearly regressed line. Find the standard deviation. 0.1 0.2 0.3 0.5 0.7 0.16 0.32 0.56 0.84 2.0
1. Fit the following data in a linearly regressed line. Find the standard deviation. 0.1 0.2 0.3 0.5 0.7 0.16 0.32 0.56 0.84 2.0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please solve question no 1. Previous answer is not correct.
![PROBLEMS
1. Fit the following data in a linearly regressed line. Find the standard deviation.
0.1
0.2
0.3
0.5
0.7
0.16
0.32
0.56
0.84
2.0
2. Fit the following data in a linear regression line. Find the standard error of estimate.
0.4
1, s
i, 10-3 Al0.2 0.3683 0.3819 0.2282 0.0486 0.0082 0.1441
0.2
0.4
0.6
0.8
1.2
3. Using the following data by linear interpolation, find the temperature at y = 2 cm.
3
5
у, ст
T, K
900
480
270
200
4. Fit the following data in a second order linear interpolation polynomial.
3
Y, cm
T, K
900
480
270
5. Fit the following data in a linearly regressed line. Find the co-efficient of variation.
X, cm
2
4
5
7 10
1, mm
2
1.35
1.34
1.6
1.58
1.42
Page 1 of 1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff24d02ba-bb98-4263-8ecb-42c1ac64c463%2Fe5f112b4-000e-42e3-b53c-215956807b54%2Fkev6n7m_processed.jpeg&w=3840&q=75)
Transcribed Image Text:PROBLEMS
1. Fit the following data in a linearly regressed line. Find the standard deviation.
0.1
0.2
0.3
0.5
0.7
0.16
0.32
0.56
0.84
2.0
2. Fit the following data in a linear regression line. Find the standard error of estimate.
0.4
1, s
i, 10-3 Al0.2 0.3683 0.3819 0.2282 0.0486 0.0082 0.1441
0.2
0.4
0.6
0.8
1.2
3. Using the following data by linear interpolation, find the temperature at y = 2 cm.
3
5
у, ст
T, K
900
480
270
200
4. Fit the following data in a second order linear interpolation polynomial.
3
Y, cm
T, K
900
480
270
5. Fit the following data in a linearly regressed line. Find the co-efficient of variation.
X, cm
2
4
5
7 10
1, mm
2
1.35
1.34
1.6
1.58
1.42
Page 1 of 1
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