oures df Number of obs 2, 143). 47.14 -.0000 0-3973 Adj R-squared = 0.3889 -1.81
ID: 3363573 • Letter: O
Question
oures df Number of obs 2, 143). 47.14 -.0000 0-3973 Adj R-squared = 0.3889 -1.8131 Model I 309.962869 154·981434 Reaidual 1 470.112556 143 3.28750039 Prob >I squared Total I 780.075425 145 5.37983052 um RightsI P 95% CI Interval] judie indepl-6806447 1612308 -4.2 .0009993484-.3619409 GDP per cap.0515602 .0140102 3.68 .00007925410238663 7.741097 9.847146 cons 794121 5327206 16.51 000 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: entirely independent and 1-heavily Judicial independence. A seven point scale (1 to 7) where 7 influenced. GDP Per capita. It is in $1000's of 2005 USD. Canada is at 32, which means $32,000 per capita. What if we increased GDP per capita from the level in Brazil to the level in Poland (which is roughly an increase of $10,000 per capita). A change of this size is associated with a score change in HR 0 +0.05 O -0.05 0 +0.5 0 -0.5 0 +0.00:5 O-5.00Explanation / Answer
We are given that the GDP is in $1000's of 2005 USD, Now as the GDP is said to increase by 10,000 per capita this means that it increases by 10 units ( in terms of $1000's )
Now as the coefficient here for the independent variable is -0.0515602, therefore the decrease here would be given as:
= 10*( -0.0515602 ) = - 0.515
Therefore -0.5 is the required answer here.
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