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Homework help Military FDI, net Mineral Oilrents (% Regression Results for the Military expenditure (% of Notes: The coefficient [standard errors] are shown in square

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Military FDI, net Mineral Oilrents (% Regression Results for the Military expenditure (% of Notes: The coefficient [standard errors] are shown in square brackets beneath the coefficient values. expenditure (% of inflows (% of rents (% of of GDP For country-dummies (CAN, CHN and FRA), base-country is USA Mean 2.46949955 2.506374756 0.095792969 0.796533687 Model 1 Model 2 Model 3 Model 4 OilrentsCAN, OilrentsCHN and OilrentsFRA are the interaction variables between Oil rents and Country-dummies. Standard Error 0.140221732 0.278300601 0.017125376 0.122872545 3.213 2.691 Selective summary statistics are given also to complete the SS calculations and inference questions about population Intercept 3.663 3.72 Sample Variance 0.865133897 3.407853874 0.012904254 0.664297146 0.195] 0.155 0.117] 0.196] mean. Do not convert the values of any explanatory variable into percentage, use them as they are, since the measured unit is % Count 44 44 44 44 FDI, net -0.297 0.351 0.179 -0.141 (% of GDP) for all the quantitative variables. For example, Oil rents = 0.75% means the value of the Oil rents variable is inflows (% 10.063] 10.054 [0.038] 0.029] Mineral 6.116 1.225 0.488 rents (% of [1.066] [1.086] [0.836] a. [1 pt.] What is the value of the total variability in the Military expenditure variable based on the given details? a. Oil rents (%] 0.342 0.45 3.68 b . of GDP) [0.164] 0.173] 0.553] b. [2 pt.] In Model 2, what is the value of MSE? c. CAN 1.97 -1.245 c. [2 pts] In Model 2, what is the value of Adjusted R2? d . 0.239] (0.311] d. [1 pts] Compute the R2 value for the model which has maximum number of explanatory variables? le . CHN 1.746 -0.567 0.269] 0.276] e. [1 pt.] Compute the value of COR(y, y) for the model which has maximum number of explanatory variables? g . FRA 0.497 0.161 f. [2 pts] In Model 2, What is the value of the test statistic to test H.: PFDI, net inflow = Mineral rents = Boil rents = 0 vs. [0.146] 0.28 Ha: at least one Bi # 0? FFF OilrentsCAN 3.18 g. [1.5 pt.] Compute the p-value for the above test in question f. [0.643] OilrentsCHN 3.442 h. [1 pt.] In Model 4, what is the value of the test statistic to test that population coefficient of FDI, net inflows is 0.571] significantly non zero? m . OilrentsFRA 32.817 i. [1.5 pt.] Compute the p-value for the above test in question h. n. [24.028] j. [2 pts] In Model 4, compute the value of the test statistic to test Ho: BFDI, net inflows 2 -0.1 vs. Ha: BFDI, net inflows

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