Write a paragraph (6-10 sentences) reporting these multiple regression results f

Question

Write a paragraph (6-10 sentences) reporting these multiple regression results from the Quality of Government dataset. The dependent variable is a country's military expenditure as a percent of GDP. For Canada, this number is 1.15 and the value for Russia is 4.3 The mean for all countries is 2.4 and the standard deviation is 2.4! The minimum, mean, and maximum of the continuous variables are indicated within parentheses beside the variable label. Dependent: wdi_megdp Coefficients Sig. p-value)(Write it all below here legibly Use the next page if you must. 0oo Do not use the exam booklet) 3.53 044 (Constant) GDP Per capita in 1000's (.2, 10, 63) Democracy (0 No, 1 Yes) Gov't leader is military (0 No, 1-Yes) % women in parliament (0, 16, 49) Internet users per 100 people (0, 13, 79) Exports as % of GDP (.35, 40, 192) Oman (1- Is Oman 0 other country) 0.38 020 311 410 .015 013 005 2.26 9.25 2.18 3.76 1.00 2.15 .65 -2.07 3.62 031 403 .032 ,008 011 8.17 321 033 518 041

Explanation / Answer

The table represents the estimate of the parameters and their significance.

As in the multiple regression equation, we have one dependent variable and more than one independent variables

Here in this regression equation, constant or intercept as a parameter, GDP per capita, democracy, % women in parliament, Oman are significant variables in determing the country military expenditure as a percent of GDP as p -value is less than 0.05.(generally considered as 5% in the literature)

Second column represents the estimates of the parameters i.e. coefficient here. Third column represents the standard error of these estimates. T test is basically used to test the significance of these paramters in the multiple regression equation. For example democracy variable's coefficient is significant means that it has statistical significant impact on determining the country military expenditure as a percent of GDP. One can understand the impact of other significant variable impact on military expenditure in a same manner.

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