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 POP 0.203927 0.293686 0.694371 0.4954 R-squared 0.825079 Mean dependent var 3.625982 Adjusted R-squared 0.798841 S.D. dependent var 0.108170 S.E. of regression 0.048515 Akaike info criterion -3.062883 Sum squared resid 0.047074 Schwarz criterion -2.866541 Log likelihood 40.75460 Hannan-Quinn criter. -3.010793 F-statistic 31.44583 Durbin-Watson stat 1.410912 Prob(F-statistic) 0.000000 a-Write down the economic function for the above estimation by using the information obtained from above table. b-Write down the economic model for the above estimation by using the information obtained from above table. c-Write down the econometric model for the above estimation by using the information obtained from above table. d-Write down the least squares line by using the information obtained from above table. e-Explain what each coefficient of the least squares line indicates. f-Explain what R2 indicates. g-Are the variables used in estimation analysis are significant. Explain how you decide.

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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Question

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
POP	0.203927	0.293686	0.694371	0.4954
R-squared	0.825079	Mean dependent var	3.625982
Adjusted R-squared	0.798841	S.D. dependent var	0.108170
S.E. of regression	0.048515	Akaike info criterion	-3.062883
Sum squared resid	0.047074	Schwarz criterion		-2.866541
Log likelihood	40.75460	Hannan-Quinn criter.	-3.010793
F-statistic	31.44583	Durbin-Watson stat	1.410912
Prob(F-statistic)	0.000000

a-Write down the economic function for the above estimation by using the information obtained from above table.

b-Write down the economic model for the above estimation by using the information obtained from above table.

c-Write down the econometric model for the above estimation by using the information obtained from above table.
d-Write down the least squares line by using the information obtained from above table.
e-Explain what each coefficient of the least squares line indicates.
f-Explain what R² indicates.
g-Are the variables used in estimation analysis are significant. Explain how you decide.