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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Question
Explain by using the Multiple linear regression model, what is the relation between the CO2C emissions per capita between the GDP, gross fixed capital formation(GFCF), trade openness(trade openness), foreign direct investment (FDI).

Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
0.999509007
0.999018255
Adjusted R Square
0.998923248
Standard Error
106.4403513
Observations
35
ANOVA
df
SS
MS
F
Significance F
Regression
357395629.4
119131876.5
10515.14787
1.08E-46
Residual
31
351215.9997
11329.54838
Total
34
357746845.4
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
8.236482806
73.43814729
0.112155373
0.91142331
-141.5416055
158.0145711 -141.541605
158.0145711
GFCF
1.66523E-09
2.24745E-11
74.09417156
1.85696E-36
1.61939E-09
1.71107E-09
1.62E-09
1.71107E-09
FDI
-8.47967E-10
5.33522E-10
-1.589377079
0.122123494
-1.93609E-09
2.40E-10
-1.9361E-09
2.40158E-10
TO
6.691920949
2.154723986
3.105697525
0.004038254
2.297332424
11.08650947 2.297332424
11.08650947
3.
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