regression

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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Estimated regression model ? (round 3 decimal places)

95% confidence interval regression parameter for B1 and B0? Upper 95% and  Lower 95%

 

SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
S&P 500
0.973958052
0.948594287
0.944640001
59.50320583
df
Coefficients
15
1
13
14
4697.106578
6.031743131
SS
849362.7238
46028.20956
895390.9333
Standard Error
528.0916682
0.389436456
MS
849362.7238
3540.631504
F
239.8901786
t Stat
P-value
8.894490976 6.88001E-07
15.48838851 9.29184E-10
Significance F
9.29184E-10
Lower 95%
3556.23389
5.190416817
Upper 95%
5837.979265
6.873069444
Lower 95.0%
3556.23389
5.190416817
Upper 95.0%
5837.979265
6.873069444
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept S&P 500 0.973958052 0.948594287 0.944640001 59.50320583 df Coefficients 15 1 13 14 4697.106578 6.031743131 SS 849362.7238 46028.20956 895390.9333 Standard Error 528.0916682 0.389436456 MS 849362.7238 3540.631504 F 239.8901786 t Stat P-value 8.894490976 6.88001E-07 15.48838851 9.29184E-10 Significance F 9.29184E-10 Lower 95% 3556.23389 5.190416817 Upper 95% 5837.979265 6.873069444 Lower 95.0% 3556.23389 5.190416817 Upper 95.0% 5837.979265 6.873069444
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