QUESTION 2 We model energy use per capita of 131 countries in a given year as follows: Lotpes_pc = B.+ B. Lnypcpenn+ 8, Lnypcpenn2+8, LnGasprice+ 8, LnAnnualprecip+ 8, TempColdest + B. Temp Warmest The variables are defined as follows: Lotpes_pc = log of total primary energy consumption per capita (ktoe) Lnypcpenn =log of GDP per capita (USD) Lnypcpenn2 = square of log of GDP per capita (USD) Ln_gasprice = log of pump price for gasoline (USD/liter) LnAnnualprecip= log of annual precipitation (mm) Temp_coldest = average temperature for the coldest month in a year (in C) Temp_warmest= average temperature for the warmest month in a year (in C) ffrents = Fossil Fuel Rents (% of GDP) LnPop = log of population (in millions) LnLand = log of land area (in km2) I_Incomegroup = refers to income groups "1" , "2" and "3", low, mid and high income countries. *"Log" always refers to natural logs or "In" here. Linear regression Number of obs 131 F(11, 119) 143.13 Prob > F R-squared 0. 8941 Root MSE .36402 Robust Intpes_po Coet. 5td. Err. [95% Conf. Interval] Inypepenn -.9599562 . 4732335 -2.03 0.045 -1. 897006 -. 0229066 Lnypcpenn2 0954567 . 0256107 3.73 0.090 0447287 . 1461857 In_gasprice .2392821 0560569 -4.22 -. 3513889 -. 1270157 temp_coldest -. 01857 005238 3.55 -. 0289417 -.0081983 temp_warmest 0166677 816809 1. 04 0.380 -. 0150318 0483671 In_annualprecip .006393 . 0539954 2. 12 0.906 -. 1005213 .1133114 ffrents 9028204 9028546 0.335 -. 9028319 9084728 Inpop -. 0469675 838338 1.23 0.223 -. 1228807 0289456 In Land 0546541 0328950 1. 66 0.099 -. 0104828 119791 I inconegro_2 . 1032733 .2283648 0.45 0 . 652 -. 3489118 . 5554584 I inconegro 3 -. 0828519 . 1807342 -0.82 0. 412 -. 2823150 . 1166118 _cons 8.303336 2. 40965 3. 45 0.091 3.531989 13.07468 Log referrers to natural logarithm