Question: Interpret your results (all estimated coefficients). Use what you learned during your International Economics course. What do your results say about the predicted trade flows

Interpret your results (all estimated coefficients). Use what you learned during your International Economics course. What do your results say about the predicted trade flows between two countries?

Interpret your results (all estimated coefficients). Use what you learned during

+ Regression Statistics Multiple R 0.580550522 R Square 0.337038909 Adjusted R Square 0.306440704 Standard Error 2.78018747 Observations 205 ANOVA df Significance F 8.0025E-14 Regression Residual Total SS MS F 9 766.2575627 85.13973 11.01499 195 1507.241262 7.729442 204 2273.498825 Standard Upper Lower Upper Coefficients Error t Stat P-value Lower 95% 95% 95.0% 95.0% 15837.90596 6447.211648 2.456551 0.014902 3122.689032 28553.12 3122.689 28553.12 Intercept Log Distance 1.004438031 0.783727499 1.281616 0.201499 0.541232518 2.550109 -0.54123 2.550109 Log GDP i Log GDP) Border Common Language 567.8856325 230.9748598 -2.45865 0.014818 1023.415187 -112.356 -1023.42 -112.356 0.129453373 0.028437535 4.552201 9.33E-06 0.073368751 0.185538 0.073369 0.185538 3.878989106 1.496884913 2.591374 0.010282 0.926826617 6.831152 0.926827 6.831152 0.064989426 1.868617624 -0.03478 0.972291 3.750284675 3.620306 3.75028 3.620306 distance ij GDPI GDP; 0.000174208 0.000155002 -1.12391 0.262434 0.000479903 0.000131 -0.00048 0.000131 1.61177E-10 6.37172E-11 2.529574 0.012211 3.5514E-11 2.87E-10 3.55E-11 2.87E-10 9.47374E-14 6.58414E-14 1.438871 0.15179 -3.51154E-14 2.25E-13 -3.5E-14 2.25E-13 FTAij 0.471852523 0.55246894 0.85408 0.394109 0.617728959 1.561434 -0.61773 1.561434 + Regression Statistics Multiple R 0.580550522 R Square 0.337038909 Adjusted R Square 0.306440704 Standard Error 2.78018747 Observations 205 ANOVA df Significance F 8.0025E-14 Regression Residual Total SS MS F 9 766.2575627 85.13973 11.01499 195 1507.241262 7.729442 204 2273.498825 Standard Upper Lower Upper Coefficients Error t Stat P-value Lower 95% 95% 95.0% 95.0% 15837.90596 6447.211648 2.456551 0.014902 3122.689032 28553.12 3122.689 28553.12 Intercept Log Distance 1.004438031 0.783727499 1.281616 0.201499 0.541232518 2.550109 -0.54123 2.550109 Log GDP i Log GDP) Border Common Language 567.8856325 230.9748598 -2.45865 0.014818 1023.415187 -112.356 -1023.42 -112.356 0.129453373 0.028437535 4.552201 9.33E-06 0.073368751 0.185538 0.073369 0.185538 3.878989106 1.496884913 2.591374 0.010282 0.926826617 6.831152 0.926827 6.831152 0.064989426 1.868617624 -0.03478 0.972291 3.750284675 3.620306 3.75028 3.620306 distance ij GDPI GDP; 0.000174208 0.000155002 -1.12391 0.262434 0.000479903 0.000131 -0.00048 0.000131 1.61177E-10 6.37172E-11 2.529574 0.012211 3.5514E-11 2.87E-10 3.55E-11 2.87E-10 9.47374E-14 6.58414E-14 1.438871 0.15179 -3.51154E-14 2.25E-13 -3.5E-14 2.25E-13 FTAij 0.471852523 0.55246894 0.85408 0.394109 0.617728959 1.561434 -0.61773 1.561434

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