Table 3. Results of multiple logistic regression analysis.
Factor | Regression coefficient | Standarderror | X2 value | p value |
Constant | 3.8391 | 8.2907 | 0.21 | 0.6433 |
X 1 | 0.9712 | 0.4989 | 3.79 | 0.0516 |
X 2 | 0.0250 | 0.0263 | 0.90 | 0.3429 |
X 3 | −0.0117 | 0.0474 | 0.06 | 0.8045 |
X 4 | 0.0334 | 0.0437 | 0.59 | 0.4439 |
X 5 | 0.0349 | 0.2550 | 0.02 | 0.8911 |
X 6 | 0.0216 | 0.3366 | 0.00 | 0.9489 |
X 7 | 0.0118 | 0.0254 | 0.21 | 0.6438 |
X 8 | −0.0046 | 0.0031 | 2.24 | 0.1344 |
X 9 | −3.6052 | 2.0527 | 3.08 | 0.0790 |
X 10 | −0.0001 | 0.0002 | 0.24 | 0.6227 |
X 11 | 0.0155 | 0.0100 | 2.39 | 0.1221 |
X 12 | −0.3129 | 0.3349 | 0.87 | 0.3503 |
X 13 | −0.0389 | 0.0549 | 0.50 | 0.4789 |
X 14 | 0.0173 | 0.0149 | 1.35 | 0.2452 |
X 15 | −0.0151 | 0.0086 | 3.10 | 0.0785 |
X 16 (0) | 0.3585 | 0.4015 | 0.80 | 0.3719 |
X 16 (1) | −1.1350 | 0.6219 | 3.33 | 0.0680 |
X 17 | −0.0024 | 0.0088 | 0.08 | 0.7812 |
X 18 | 0.0007 | 0.0002 | 0.72 | 0.3970 |
X 19 | 0.5059 | 0.9554 | 0.28 | 0.5965 |
X 20 | −0.2572 | 0.1136 | 5.12 | 0.0236 |
X 21 | 1.4625 | 0.2725 | 28.80 | <0.0001 |