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Table 3
Binary logistic regression – generalized model with all interaction terms.
| B | SE | Wald | df | p | Exp (B) | |
|---|---|---|---|---|---|---|
| L night,road | 0.862 | 0.592 | 2.124 | 1 | 0.145 | 2.368 |
| L night,rail | 0.478 | 0.761 | 0.395 | 1 | 0.530 | 1.613 |
| L night,air | 0.635 | 0.998 | 0.404 | 1 | 0.525 | 1.886 |
| Lnight,rail by Lnight,road | −0.014 | 0.016 | 0.822 | 1 | 0.365 | 0.986 |
| Lnight,rail by Lnight,air | −0.005 | 0.027 | 0.034 | 1 | 0.853 | 0.995 |
| Lnight,air by Lnight,road | −0.018 | 0.021 | 0.780 | 1 | 0.377 | 0.982 |
| Lnight,air by Lnight,rail by Lnight,road | 0.000 | 0.001 | 0.207 | 1 | 0.649 | 1.000 |
| Gender | −0.555 | 0.263 | 4.468 | 1 | 0.035 | 0.574 |
| Age2 | 0.000 | 0.000 | 6.041 | 1 | 0.014 | 1.000 |
| Sensitivity | 0.231 | 0.049 | 22.699 | 1 | 0.000 | 1.260 |
| Access to quiet façade | 0.175 | 0.103 | 2.886 | 1 | 0.089 | 1.191 |
| Educational level | 0.681 | 0.264 | 6.640 | 1 | 0.010 | 1.975 |
| Noise protection given | −0.514 | 0.214 | 5.746 | 1 | 0.017 | 0.598 |
| Constant | −37.390 | 28.698 | 1.698 | 1 | 0.193 | 0.000 |
Note: B = regression coefficient; SE = standard error; Wald = Wald Chi-square; df = degrees of freedom; p = significant level; p < 0.05 is marked in bold.
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