Please help me my econ homewoerk . Only one question h- By using the information below, test if the residuals are normally distributed8Series: ResidualsSample 1990 2013Observations 247-6 -MeanMedianMaximumMinimumStd. Dev.Skewness-1.28e-160.0037960.079532-0.0914740.045240-0.2882432.3709915-Kurtosis2 -Jarque-Bera 0.727988Probability0.6948951-0.10-0.050.000.050.104.3. 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: CO2Method: Least SquaresDate: 04/20/17 Time: 09:46Sample: 1990 2013Included observations: 24VariableCoefficientStd. Errort-StatisticProb.C2.0028136.4586720.3100970.7597GDP0.0221140.0118721.8626700.0773ENERGY-0.7343520.328388-2.2362330.0369РOP0.2039270.2936860.6943710.4954Mean dependent varS.D. dependent varAkaike info criterionR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statistic0.8250793.6259820.7988410.1081700.048515-3.062883Schwarz criterionHannan-Quinn criter.0.047074-2.86654140.75460-3.01079331.44583Durbin-Watson stat1.410912Prob(F-statistic)0.000000

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Description: Please help me my econ homewoerk . Only one question h- By using the information below, test if the residuals are normally distributed8Series: ResidualsSample 1990 2013Observations 247-6 -MeanMedianMaximumMinimumStd. Dev.Skewness-1.28e-160.0037960.07

Residual is the measure of the distance between observed y dependent variable and predicted y. This…

Math

Statistics

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

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

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Question

Please help me my econ homewoerk . Only one question

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.

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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