Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Obs. Intercept Xx HN Part I: Regression Basics SUMMARY OUTPUT A 1 2 3 Regression Statistics st 4 X556 8 0.97688814 df 0.939080583 3.277208147 5 1 3 4 Data Y 23 16 25 28 SS 672.9797 32.22028 Y hat Standard Error Coefficients t Stat P-value 2.531468531 3.604616 0.702285 0.533087 3.43006993 0.433317 7.915839 0.004203
Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Obs. Intercept Xx HN Part I: Regression Basics SUMMARY OUTPUT A 1 2 3 Regression Statistics st 4 X556 8 0.97688814 df 0.939080583 3.277208147 5 1 3 4 Data Y 23 16 25 28 SS 672.9797 32.22028 Y hat Standard Error Coefficients t Stat P-value 2.531468531 3.604616 0.702285 0.533087 3.43006993 0.433317 7.915839 0.004203
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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Question
![Part I: Regression Basics
SUMMARY OUTPUT A
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Obs.
1
2
Regression Statistics
Intercept
X
3
4
X5560 00
8
0.97688814
df
0.939080583
3.277208147
5
1
3
4
Data
Y
23
16
25
28
SS
672.9797
32.22028
Y hat
Standard
Error
Coefficients
t Stat P-value
2.531468531 3.604616 0.702285 0.533087
3.43006993 0.433317 7.915839 0.004203](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0d55fc0c-fd9e-436a-a7ff-5ff678f239b0%2Fa392d26f-19b3-44eb-9f8c-0ac01fee8484%2F1srvste_processed.png&w=3840&q=75)
Transcribed Image Text:Part I: Regression Basics
SUMMARY OUTPUT A
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Obs.
1
2
Regression Statistics
Intercept
X
3
4
X5560 00
8
0.97688814
df
0.939080583
3.277208147
5
1
3
4
Data
Y
23
16
25
28
SS
672.9797
32.22028
Y hat
Standard
Error
Coefficients
t Stat P-value
2.531468531 3.604616 0.702285 0.533087
3.43006993 0.433317 7.915839 0.004203
Expert Solution
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Step 1
Data given
Coefficient of intercept=2.531468531
Coefficient of X =3.43006993
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