Table 4.
Variable | Coefficient | 95% CI | F test | P value | |
---|---|---|---|---|---|
Low | High | ||||
Education | −0.11 | −0.347 | 0.119 | 0.37 | 0.0547 |
Income (per monthly minimum wage) | −0.02 | −0.292 | 0.254 | 0.02 | 0.892 |
LAPS (pet attachment units) | 0.04 | 0.003 | 0.078 | 4.931 | 0.036* |
Risk and knowledge score (1–10) | 0.17 | 0.005 | 0.325 | 4.547 | 0.043* |
A multivariate linear regression model was constructed with monthly amount willing to pay for prevention as the dependent variable. A positive coefficient indicated a larger willingness to spend on preventative associated with increased explanatory variable (monetary units = 20 Reais increments). Model statistics: r2 = 0.06, df = 150, mean square = 4.366, F statistic = 2.272.
P < 0.05.