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 |
