SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA F Signdicance F SS 1 1,352,635.29 1,352,635.29 14 307 445.65 df MS Regression Residual 61.59 0.00000171 21,960.40 Total 15 1,660,080.94 Lower 95% Coefficients Standard Eror 437.8799 16.9448 : Stat 5.3175 7.8482 Pvalue 0.0001 0.0000 Upper 95% Lower 95.0% Upper 95.0% 614.4981 21.5756 82.3477 261.2617 614.4981 261.2617 Intercept $TV ads 2.1591 12.3141 21.5756 12.3141
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA F Signdicance F SS 1 1,352,635.29 1,352,635.29 14 307 445.65 df MS Regression Residual 61.59 0.00000171 21,960.40 Total 15 1,660,080.94 Lower 95% Coefficients Standard Eror 437.8799 16.9448 : Stat 5.3175 7.8482 Pvalue 0.0001 0.0000 Upper 95% Lower 95.0% Upper 95.0% 614.4981 21.5756 82.3477 261.2617 614.4981 261.2617 Intercept $TV ads 2.1591 12.3141 21.5756 12.3141
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
Do we reject the hypothesis of the attached file?
![SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Sq
Standard Error
0.9027
0.8148
0.8016
148. 1904
Observations
16
ANOVA
MS
F
SS
1 1,352,635.29 1,352,635.29
14 307,445.65
df
Signiticance F
Regression
Residual
61.59 0.00000171
21,960.40
Total
15 1,660,080.94
Coefficients Standard Eror
437.8799
16.9448
Stat
5.3175
Pvalue
0.0001
0.0000
Lower 95%
261.2617
12.3141
Upper 95% Lower 95.0% Upper 95.0%
614.4981
21.5756
614.4981
21.5756
261.2617
Intercept
$TV ads
82.3477
2.1591
7.8482
12.3141](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2973310b-d236-4b1a-bde8-4ae02241061a%2Fe6c75cf0-d3b2-4d86-947d-3437da0c0d27%2Fxhpf31u_processed.jpeg&w=3840&q=75)
Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Sq
Standard Error
0.9027
0.8148
0.8016
148. 1904
Observations
16
ANOVA
MS
F
SS
1 1,352,635.29 1,352,635.29
14 307,445.65
df
Signiticance F
Regression
Residual
61.59 0.00000171
21,960.40
Total
15 1,660,080.94
Coefficients Standard Eror
437.8799
16.9448
Stat
5.3175
Pvalue
0.0001
0.0000
Lower 95%
261.2617
12.3141
Upper 95% Lower 95.0% Upper 95.0%
614.4981
21.5756
614.4981
21.5756
261.2617
Intercept
$TV ads
82.3477
2.1591
7.8482
12.3141
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