Table 3 Prediction of premium participants were willing to pay according to sex: multinomial logistic regression (other variables were not significant)
Group of amount (euros per month) | Variable = sex | n (%) | Coefficient | Standard error | p | Odds Ratio [CI 95%] |
|---|---|---|---|---|---|---|
< 4.5 (reference) | Female | 69 (27.1) | ||||
Male | 31 (15.9) | |||||
4.5 or 7.5 | Female | 77 (30.2) | −0.81 | 0.27 | 0.003 | 0.44 [0.26–0.75] |
Male | 78 (40.0) | 0 | ||||
intercept | 0.92 | .21 | 0.000 | |||
15 | Female | 80 (31.4) | −0.40 | 0.28 | 0.152 | 0.67 [0.39–1.16] |
Male | 53 (27.2) | 0 | ||||
intercept | 0.54 | 0.23 | 0.018 | |||
30 or 45 | Female | 29 (11.4) | −0.93 | 0.33 | 0.005 | 0.40 [0.21–0.76] |
Male | 33 (16.9) | 0 | ||||
intercept | 0.06 | 0.25 | 0.803 |