Source df 146 F 2, 143)47.14 -0.0000 0.3973 Adj R-squared = 0.3889 -1.8131 KS 2

Question

Source df 146 F 2, 143)47.14 -0.0000 0.3973 Adj R-squared = 0.3889 -1.8131 KS 2 154.981434 Residual 470.112556 143 3.28750039 Model 309.962869 Prob > R-squared Total I 780.075425 145 5.37983052 Root MSE Rum Rights [95% CI Interval judic indepl-6806447 1612308 4.22 .000-9993484 3619409 GDP per cap-.0515602 0140102 3.68 0.00007925410238663 cons I .794121 5327206 16.51 0.000 .741097 9.847146 Here are the results of a multivariate regression using the Quality of Government data set. The dependent variable is human rights (ffp_hr). It is an index variable combining multiple measures of different aspects of human rights. The scale runs from 1 to 10. 1- excellent human rights, 10- very poor human rights. Canada is at 2.1, Russia is at 8.7 The independent variables are Judicial independence. A seven point scale (1 to 7) where 7 - entirely independent and 1-heavily influenced GDP Per capita. It is in $1000's of 2005 USD. Canada is at 32, which means $32,000 per capita. If we increase GDP per capita by $1000 dollars what is the expected change in the human rights index. O 8.8 O -5.0 -.05 O +.05 0 +5.0

Explanation / Answer

The GDP per capita in measured in $1000's of dollars only, therefore a $1000 increase in the GDP per capita would mean a unit increase in the independent variable GDP per capita in the model. Now as the coefficient of this independent variable is - 0.05, therefore there would be a decrease in 0.05 in the dependent variable

Therefore -0.05 is the required answer here.

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