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f- Explain what R2 indicates . g- Are the variables used in estimation analysis are significant ?Explain how you decide ?

f- Explain what R2 indicates . g- Are the variables used in estimation analysis are significant ?Explain how you decide ?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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f- Explain what R2 indicates .

g- Are the variables used in estimation analysis are significant ?Explain how you decide ?

We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population (POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows; Dependent Variable: CO2 Method: Least Squares Date: 04/20/17 Time: 09:46 Sample: 1990 2013 Included observations: 24 Variable Coefficient Std. Error t-Statistic Prob. C 2.002813 6.458672 0.310097 0.7597 GDP 0.022114 0.011872 1.862670 0.0773 ENERGY -0.734352 0.328388 -2.236233 0.0369 РOP 0.203927 0.293686 0.694371 0.4954 Mean dependent var S.D. dependent var Akaike info criterion R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic 0.825079 3.625982 0.798841 0.108170 0.048515 -3.062883 Schwarz criterion Hannan-Quinn criter. 0.047074 -2.866541 40.75460 -3.010793 31.44583 Durbin-Watson stat 1.410912 Prob(F-statistic) 0.000000
Transcribed Image Text:We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population (POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows; Dependent Variable: CO2 Method: Least Squares Date: 04/20/17 Time: 09:46 Sample: 1990 2013 Included observations: 24 Variable Coefficient Std. Error t-Statistic Prob. C 2.002813 6.458672 0.310097 0.7597 GDP 0.022114 0.011872 1.862670 0.0773 ENERGY -0.734352 0.328388 -2.236233 0.0369 РOP 0.203927 0.293686 0.694371 0.4954 Mean dependent var S.D. dependent var Akaike info criterion R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic 0.825079 3.625982 0.798841 0.108170 0.048515 -3.062883 Schwarz criterion Hannan-Quinn criter. 0.047074 -2.866541 40.75460 -3.010793 31.44583 Durbin-Watson stat 1.410912 Prob(F-statistic) 0.000000
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