Regression Statistics Multiple R R Square Adjusted R Square 0.707 Standard Error Observations ANOVA SS ee 770.17 7 .17 MSb Significance F 17.92274 0.005478716 icublesR fetoT df Regression Residual 257.83 Total Standard e Upper 95% Suisy Coefficients SHEO 165.46 2000 -21.48 Error t Statoreo P-value Lower 95% Intercept 21.3860 5.07 O 0.000 ERA 0.005
Regression Statistics Multiple R R Square Adjusted R Square 0.707 Standard Error Observations ANOVA SS ee 770.17 7 .17 MSb Significance F 17.92274 0.005478716 icublesR fetoT df Regression Residual 257.83 Total Standard e Upper 95% Suisy Coefficients SHEO 165.46 2000 -21.48 Error t Statoreo P-value Lower 95% Intercept 21.3860 5.07 O 0.000 ERA 0.005
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 complete table**
![Complete the Table Below
Regression
Statistics
Multiple R
R Square
Adjusted R Square
isupa
0.707
Standard Error
Observations
8.
ANOVA
SS ee
770.17 7
AVOWA
Significance F
17.92274 0.005478716
df
MS
Regression
Residual
257.83
47,971667
isubleaR
fstoT
Total
Standards2
Upper
95%
Suisy Coefficients
SHEO 165.46
1000 -21.48
Error
t Stat P-value
Lower 95%
Intercept
21.38
0.000
ERA
5.07 O
0.005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F68cc5e62-1f1e-447e-86e2-72966307f0c4%2F9ef52ee4-8ab9-48ed-91b1-961e8f7349d0%2F4xm0yl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Complete the Table Below
Regression
Statistics
Multiple R
R Square
Adjusted R Square
isupa
0.707
Standard Error
Observations
8.
ANOVA
SS ee
770.17 7
AVOWA
Significance F
17.92274 0.005478716
df
MS
Regression
Residual
257.83
47,971667
isubleaR
fstoT
Total
Standards2
Upper
95%
Suisy Coefficients
SHEO 165.46
1000 -21.48
Error
t Stat P-value
Lower 95%
Intercept
21.38
0.000
ERA
5.07 O
0.005
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