Question

OLS Regression on Support for Military Response to North Korea Coefficient SE V2 (20,000 NK deaths)...

OLS Regression on Support for Military Response to North Korea
Coefficient SE
V2 (20,000 NK deaths)    −0.259***         0.090
V3 (20,000 SK deaths)    −0.341****         0.091
V4 (20,000 NK and SK deaths)    −0.351****         0.089
Female    −0.088         0.065
Age    −0.007**         0.003
Education    −0.074***         0.026
Household Income       0.013         0.022
Interest in Politics    −0.042         0.035
Political Ideology       0.289****         0.019
Served in Military       0.187         0.126
Constant       2.349****         0.201
N       1,025
Adjusted R2       0.213
Note: ****p<0.001, ***p<0.01, **p<0.05, *p<0.10.

The above results come from a survey experiment where respondents were randomly prompted with one of four possible question wordings. V1 involved no mention of casualties, while V2 through V4 mentioned estimates of 20,000 deaths a day in North Korea ("NK" in the table) and/or South Korea ("SK" in the table). Female and served in military are measured as yes = 1, no = 0; age is measured in years; education, household income, and political ideology are measured on a 1-to-7 scale; interest in politics and support for responding militarily to North Korea are measured on a 1-to-5 scale.

What level of support does the regression predict for a 35-year-old female non-veteran who is very uninterested in politics (that is, at 1 on the relevant scale), graduated from college (that is, at 6 on the relevant scale), is in the median household income category, considers herself ideologically moderate (that is, at 4 on the relevant scale), and received question version V2? Round your answer to the nearest hundredth.

Homework Answers

Answer #1

The estimated regression equation is,

Support for Military Response to North Korea = -0.259 V2 -0.341 V3 -0.351 V4 -0.088 Female -0.007 Age -0.074 Education + 0.013 Household Income -0.042 Interest in Politics + 0.289 Political Ideology + 0.187 Served in Military + 2.349

The predictor values are

Age = 35

Female = 1

Served in Military = 0 (non-veteran)

Interest in Politics = 1

Education = 6

Household Income = 4 (median household income category and median of 1-7 is 4)

Political Ideology = 4

V2 = 1, V3 = V4 = 0

Support for Military Response to North Korea = -0.259 * 1 -0.341 * 0 -0.351 * 0 -0.088 * 1 -0.007 * 35 -0.074 * 6 + 0.013 * 4  -0.042 * 1 + 0.289 * 4 + 0.187 * 0 + 2.349

= 2.48

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