Please define (Gauss Markov) MLR 4, state if it is likely to hold or not in this case.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Please look at the following regression table. The year is 2010. The data originates from the Penn World Table 9.0, from Harris et.al. 2014 from the World Bank and from the International Energy Agency.

The variables are defined as follows:

Lntran_pc = log of transportation energy consumption per capita (ktoe)

Lnypcpenn =log of GDP per capita (USD)

Ln_gasprice = log of pump price for gasoline (USD/liter)

Ln_temperature = log of the average  annual temperature (in C)

Ln_annualprecip= log of annual precipitation (mm)

Ln_land = log of the land area of a country

OECD = a dummy (indicator) that takes on the value of 1 if the country is OECD member, zero otherwise.

Please define (Gauss Markov) MLR 4, state if it is likely to hold or not in this case.

Linear regression
Number of obs
128
F(6, 121)
114.89
Prob > F
0.0000
R-squared
0.8793
Root MSE
.44427
Robust
Intran_pc
Coef.
Std. Err.
t P>|t|
[95% Conf. Interval]
Inypcpenn
.8959857
.0706039
12.69
0.000
.7562067
1.035765
In_gasprice
-.263207
.0715285
-3.68
0.000
-.4048165
-.1215975
In_annualprecip
-.0611447
0334971
-1.83
0.070
.1274611
.0051717
In_temperature
.0072154
.0940917
0.08
0.939
-.1790639
.1934948
Inland
.0096112
.0241781
0.40
0.692
-.0382557
.057478
oecd
.1702616
.1391713
1.22
0.224
-.1052647
.445788
_cons
-2.263816
.9382594
-2.41
0.017
-4.121348
-.4062838
IL || || || ||
Transcribed Image Text:Linear regression Number of obs 128 F(6, 121) 114.89 Prob > F 0.0000 R-squared 0.8793 Root MSE .44427 Robust Intran_pc Coef. Std. Err. t P>|t| [95% Conf. Interval] Inypcpenn .8959857 .0706039 12.69 0.000 .7562067 1.035765 In_gasprice -.263207 .0715285 -3.68 0.000 -.4048165 -.1215975 In_annualprecip -.0611447 0334971 -1.83 0.070 .1274611 .0051717 In_temperature .0072154 .0940917 0.08 0.939 -.1790639 .1934948 Inland .0096112 .0241781 0.40 0.692 -.0382557 .057478 oecd .1702616 .1391713 1.22 0.224 -.1052647 .445788 _cons -2.263816 .9382594 -2.41 0.017 -4.121348 -.4062838 IL || || || ||
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