Table 1 Estimated regression coefficients in the final negative binomial GLARMA model
From: The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong
Term | Parameter | Est. | S.E. | z-value | P-value |
|---|---|---|---|---|---|
Intercept | 2.442531 | 0.039518 | 61.807 | < 2e–16 *** | |
poly(avgtem,deg = 5) | 6.60e–05 *** | ||||
1 | –2.107423 | 0.854826 | –2.465 | 0.013689 * | |
2 | 0.533695 | 0.342106 | 1.560 | 0.118753 | |
3 | –0.002327 | 0.282575 | –0.008 | 0.993430 | |
4 | 0.544087 | 0.245085 | 2.220 | 0.026419 * | |
5 | 0.316611 | 0.223906 | 1.414 | 0.157352 | |
poly(avgrng,deg = 1) | 1 | 0.703833 | 0.252429 | 2.788 | 0.005299 ** |
poly(day,degree = 19) | 3.32e–124 *** | ||||
1 | 8.421452 | 0.342929 | 24.557 | < 2e–16 *** | |
2 | –1.025939 | 0.299326 | –3.427 | 0.000609 *** | |
3 | 1.081812 | 0.400462 | 2.701 | 0.006905 ** | |
4 | –3.635584 | 0.296644 | –12.256 | < 2e–16 *** | |
5 | –1.653215 | 0.408414 | –4.048 | 5.17e–05 *** | |
6 | 1.262107 | 0.377475 | 3.344 | 0.000827 *** | |
7 | 1.333170 | 0.330431 | 4.035 | 5.47e–05 *** | |
8 | –1.197338 | 0.470180 | –2.547 | 0.010879 * | |
9 | –0.076322 | 0.389505 | –0.196 | 0.844651 | |
10 | –0.862383 | 0.325797 | –2.647 | 0.008121 ** | |
11 | 1.342996 | 0.580335 | 2.314 | 0.020658 * | |
12 | 1.117173 | 0.472052 | 2.367 | 0.017951 * | |
13 | –1.103724 | 0.291459 | –3.787 | 0.000153 *** | |
14 | 0.647134 | 0.404929 | 1.598 | 0.110012 | |
15 | –1.066383 | 0.731316 | –1.458 | 0.144794 | |
16 | –0.825548 | 0.738731 | –1.118 | 0.263771 | |
17 | 0.337155 | 0.771639 | 0.437 | 0.662160 | |
18 | 1.236506 | 0.561054 | 2.204 | 0.027531 * | |
19 | 0.923495 | 0.471105 | 1.960 | 0.049964 * | |
weekday | 2.37e–11 *** | ||||
Monday | 0.089304 | 0.016387 | 5.450 | 5.05e–08 *** | |
Tuesday | 0.021804 | 0.014619 | 1.491 | 0.135840 | |
Wednesday | 0.007786 | 0.016910 | 0.460 | 0.645188 | |
Thursday | 0.031717 | 0.016603 | 1.910 | 0.056097. | |
Friday | 0.010251 | 0.015368 | 0.667 | 0.504731 | |
Saturday | –0.007043 | 0.016094 | –0.438 | 0.661673 | |
month | 0.077200. | ||||
February | 0.042941 | 0.032453 | 1.323 | 0.185784 | |
March | 0.014045 | 0.045926 | 0.306 | 0.759750 | |
April | –0.053393 | 0.059269 | –0.901 | 0.367666 | |
May | –0.065915 | 0.066509 | –0.991 | 0.321651 | |
June | –0.117673 | 0.068948 | –1.707 | 0.087881. | |
July | –0.072637 | 0.067278 | –1.080 | 0.280290 | |
August | –0.050010 | 0.065466 | –0.764 | 0.444926 | |
September | –0.040152 | 0.063196 | –0.635 | 0.525196 | |
October | –0.053443 | 0.057428 | –0.931 | 0.352061 | |
November | –0.029786 | 0.049083 | –0.607 | 0.543961 | |
December | –0.013625 | 0.033611 | –0.405 | 0.685201 |