Multivariate Regression Look at the results of a regression

Multivariate Regression. Look at the results of a regression analysis of opposition to Obamacare (Table 2).

Table 2: Opposition to Obamacare


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N = 1,000

R^2 = .473

Regression (Total) Sum of Squares = 360.00

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Race: 0 if Hispanic, 1 if otherwise
Gender: 0 if male, 1 female
Income: 1-4 quartile, 1 = lowest
Political Expertise: 0-3 scale, where higher score indicates more sophistication and expertise

Multivariate Regression. Look at the results of a regression analysis of opposition to Obamacare (Table 2).

Which variables are statistically significant?

Race, Family Income

Gender, Race, Family Income

Gender, Race, Political Expertise, Family Income

Gender, Race

Gender, Family Income

Coefficient Standard Error
Constant 8.56 0.74
Gender -7.59 2.04
Race 1.37 0.21
Political Expertise 0.41 0.22
Family Income Quartile 0.05 0.18

Solution

Which variables are statistically significant?

Gender, Race, Political Expertise, Family Income

Gender, Race, Political Expertise, Family Income

Multivariate Regression. Look at the results of a regression analysis of opposition to Obamacare (Table 2). Table 2: Opposition to Obamacare ___________________

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