SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS F Significance F Regression Residual Total 1.000 1,285.245 1,285.245 91.105 0.000 8.000 112.858 14.107 9.000 1,398.103 Coefficients itandard Erroi 7.995 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) 1.923 0.091 17.581 (1.591) 17.581 ntercept Years in College 4.157 12.675 1.328 9.545 0.000 9.613 15.737 9.613 15.737
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.959 0.919 0.909 Standard Error 3.756 Observations 10.000 ANOVA df SS MS F Significance F Regression Residual Total 1.000 1,285.245 1,285.245 91.105 0.000 8.000 112.858 14.107 9.000 1,398.103 Coefficients itandard Erroi 7.995 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% (1.591) 1.923 0.091 17.581 (1.591) 17.581 ntercept Years in College 4.157 12.675 1.328 9.545 0.000 9.613 15.737 9.613 15.737
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
what is the value of intercept? how to interpret the meaning of intercept?
![SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
0.959
0.919
Adjusted R Square
0.909
Standard Error
3.756
Observations
10.000
ANOVA
df
SS
MS
F
Significance F
Regression
1.000
1,285.245
1,285.245
91.105
0.000
Residual
8.000
112.858
14.107
Total
9.000
1,398.103
Coefficients itandard Erroi
7.995
t Stat
P-value
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
(1.591)
Intercept
4.157
1.923
0.091
17.581
(1.591)
17.581
Years in College
12.675
1.328
9.545
0.000
9.613
15.737
9.613
15.737](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3711ddab-189a-4725-b740-af25999a30e5%2Fb05246eb-344e-4528-a39b-ea41d763e42a%2Fq9jiiod_processed.jpeg&w=3840&q=75)
Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
0.959
0.919
Adjusted R Square
0.909
Standard Error
3.756
Observations
10.000
ANOVA
df
SS
MS
F
Significance F
Regression
1.000
1,285.245
1,285.245
91.105
0.000
Residual
8.000
112.858
14.107
Total
9.000
1,398.103
Coefficients itandard Erroi
7.995
t Stat
P-value
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
(1.591)
Intercept
4.157
1.923
0.091
17.581
(1.591)
17.581
Years in College
12.675
1.328
9.545
0.000
9.613
15.737
9.613
15.737
![The following sample data contains the number of years of college and the current annual salary for a random sample of heavy equipment salespeople. A researcher believes that spending more years in college
leads to higher annual income. (80 points)
Annual Income
Years in College
(In Thousands)
31.2
2
35.9
2
39.0
54.6
4
43.7
3
28.1
57.7
4
46.8
62.4
4.
60.8
4
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
0.959
0.919
0.909
Standard Error
3.756
Observations
10.000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3711ddab-189a-4725-b740-af25999a30e5%2Fb05246eb-344e-4528-a39b-ea41d763e42a%2Fwsd3gif_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following sample data contains the number of years of college and the current annual salary for a random sample of heavy equipment salespeople. A researcher believes that spending more years in college
leads to higher annual income. (80 points)
Annual Income
Years in College
(In Thousands)
31.2
2
35.9
2
39.0
54.6
4
43.7
3
28.1
57.7
4
46.8
62.4
4.
60.8
4
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
0.959
0.919
0.909
Standard Error
3.756
Observations
10.000
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