Predictors with α = 0.05 Which predictors do you consider significant? Which predictors would you be comfortable eliminating?
Predictors with α = 0.05 Which predictors do you consider significant? Which predictors would you be comfortable eliminating?
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
100%
- Predictors with α = 0.05
Which predictors do you consider significant?
Which predictors would you be comfortable eliminating?
![SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9761368
R Square
0.9528431
Adjusted R Sc 0.9486514
Standard Erro 84.864073
Observations
50
ANOVA
df
SS
MS
Significance F
Regression
4
6548422
1637105.5
227.31543
3.205E-29
Residual
45
324085.99
7201.9109
Total
49
6872508
Coefficients tandard Erroi
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
Intercept
19.520368
56.459619
0.3457403
0.731149 -94.195142
133.23588 -94.195142
133.23588
Floor Area (Se
0.259969
0.0182476 14.246738
2.74E-18
0.2232164
0.2967216 0.2232164 0.2967216
Offices
74.272247
26.009425
2.8555897
0.006477
21.886575
126.65792
21.886575
126.65792
Entrances
49.31807
29.007488
1.7001841
0.095999 -9.1060107
107.74215 -9.1060107
107.74215
Age
0.9423287
0.9766529
0.9648553
0.3397741 -1.0247512
2.9094087 -1.0247512
2.9094087
Е.
What is the R2?
What is the adjusted R2?
Explain the purpose of having an adjusted R2?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7ea2612a-fd9d-47de-a020-7fdff686f5fb%2F5df2310b-5b7f-4b57-a352-b181b4bd9764%2Frdbek5e_processed.png&w=3840&q=75)
Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9761368
R Square
0.9528431
Adjusted R Sc 0.9486514
Standard Erro 84.864073
Observations
50
ANOVA
df
SS
MS
Significance F
Regression
4
6548422
1637105.5
227.31543
3.205E-29
Residual
45
324085.99
7201.9109
Total
49
6872508
Coefficients tandard Erroi
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
Intercept
19.520368
56.459619
0.3457403
0.731149 -94.195142
133.23588 -94.195142
133.23588
Floor Area (Se
0.259969
0.0182476 14.246738
2.74E-18
0.2232164
0.2967216 0.2232164 0.2967216
Offices
74.272247
26.009425
2.8555897
0.006477
21.886575
126.65792
21.886575
126.65792
Entrances
49.31807
29.007488
1.7001841
0.095999 -9.1060107
107.74215 -9.1060107
107.74215
Age
0.9423287
0.9766529
0.9648553
0.3397741 -1.0247512
2.9094087 -1.0247512
2.9094087
Е.
What is the R2?
What is the adjusted R2?
Explain the purpose of having an adjusted R2?
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