MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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).

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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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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