h- By using the information below, test if the residuals are normally distributed 8 Series: Residuals Sample 1990 2013 Observations 24 7- 6 - Mean Median Maximum Minimum Std. Dev. Skewness -1.28e-16 0.003796 0.079532 -0.091474 0.045240 -0.288243 2.370991 5 3 Kurtosis 2- Jarque-Bera 0.727988 Probability 0.694895 -0.10 -0.05 0.00 0.05 0.10
h- By using the information below, test if the residuals are normally distributed 8 Series: Residuals Sample 1990 2013 Observations 24 7- 6 - Mean Median Maximum Minimum Std. Dev. Skewness -1.28e-16 0.003796 0.079532 -0.091474 0.045240 -0.288243 2.370991 5 3 Kurtosis 2- Jarque-Bera 0.727988 Probability 0.694895 -0.10 -0.05 0.00 0.05 0.10
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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Transcribed Image Text:h- By using the information below, test if the residuals are normally distributed
8
Series: Residuals
Sample 1990 2013
Observations 24
7-
6 -
Mean
Median
Maximum
Minimum
Std. Dev.
Skewness
-1.28e-16
0.003796
0.079532
-0.091474
0.045240
-0.288243
2.370991
5-
Kurtosis
2 -
Jarque-Bera 0.727988
Probability
0.694895
1
-0.10
-0.05
0.00
0.05
0.10
4.
3.
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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