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The variables are the same as before, but we will add Monopoly on the Use of Force, force_dich, which takes a value of 1 if the country's federal government has a monopoly on the use of force, and a O if the country does not. (Note: Monopoly in this case means that there are not armed groups outside of government control.) The last term, bti_cdi × force_dich is the interaction of the two variables. The result of the regression model follows: t value Pr(>|t|) < 0.001 Estimate Std. Error (Intercept) bti_cdi force_dich bti_cdi × force_dich R2 8.6429 0.8766 9.86 -0.0357 0.0074 -4.13 0.0032 -3.2882 0.9283 -3.54 0.0006 -0.1642 0.0898 -1.96 0.0439 0.41

The variables are the same as before, but we will add Monopoly on the Use of Force, force_dich, which takes a value of 1 if the country's federal government has a monopoly on the use of force, and a O if the country does not. (Note: Monopoly in this case means that there are not armed groups outside of government control.) The last term, bti_cdi × force_dich is the interaction of the two variables. The result of the regression model follows: t value Pr(>|t|) < 0.001 Estimate Std. Error (Intercept) bti_cdi force_dich bti_cdi × force_dich R2 8.6429 0.8766 9.86 -0.0357 0.0074 -4.13 0.0032 -3.2882 0.9283 -3.54 0.0006 -0.1642 0.0898 -1.96 0.0439 0.41

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The variables are the same as before, but we will add Monopoly on the Use of Force, force_dich, which takes a value of 1 if the country's federal government has a monopoly on the use of force, and a 0 if the country does not. (Note: Monopoly in this case means that there are not armed groups outside of government control.) The last term, bti_cdi x force_dich is the interaction of the two variables. The result of the regression model follows: t value Pr(>|t|) < 0.001 Estimate Std. Error (Intercept) bti_cdi force_dich bti_cdi × force_dich R2 8.6429 0.8766 9.86 -0.0357 0.0074 -4.13 0.0032 -3.2882 0.9283 -3.54 0.0006 -0.1642 0.0898 -1.96 0.0439 0.41 Given the result of the regression, what is the predicted value for Conflict Intensity in Albania, which has Respect for Democratic Institutions (bti_cdi) score 9 and Monopoly on the Use of Force (force_dich) score 1? = 8.8 z -2.4 = 3.6 = 5.9
Transcribed Image Text:The variables are the same as before, but we will add Monopoly on the Use of Force, force_dich, which takes a value of 1 if the country's federal government has a monopoly on the use of force, and a 0 if the country does not. (Note: Monopoly in this case means that there are not armed groups outside of government control.) The last term, bti_cdi x force_dich is the interaction of the two variables. The result of the regression model follows: t value Pr(>|t|) < 0.001 Estimate Std. Error (Intercept) bti_cdi force_dich bti_cdi × force_dich R2 8.6429 0.8766 9.86 -0.0357 0.0074 -4.13 0.0032 -3.2882 0.9283 -3.54 0.0006 -0.1642 0.0898 -1.96 0.0439 0.41 Given the result of the regression, what is the predicted value for Conflict Intensity in Albania, which has Respect for Democratic Institutions (bti_cdi) score 9 and Monopoly on the Use of Force (force_dich) score 1? = 8.8 z -2.4 = 3.6 = 5.9
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