Table 5. Maximum likelihood estimates for the best fit generalized linear models for springbok Eimeria and stress hormones.
Response | Coefficients | Estimate ± SE | z Value | Pr(>|z|) | N | ΔAIC |
---|---|---|---|---|---|---|
GIC | Intercept | 5.77 ± 0.68 | 8.44 | 0.000*** | 267 | 12.7 |
Rain2 | 0.019 ± 1.924e-03 | 10.0 | 0.000*** | |||
AgeC | -0.74 ± 0.33 | -2.25 | 0.025* | |||
GISsqrt | 0.12 ± 0.02 | 6.08 | 0.000*** | |||
Rain2*GISsqrt | -5.10e-04 ± 1.30e-04 | -3.93 | 0.000*** | |||
GIC | Intercept | 4.50 ± 0.34 | 13.4 | 0.000*** | 114 | 8.90 |
Rain2 | 0.014 ± 2.07e-03 | 6.54 | 0.000*** | |||
GISsqrt | 0.05 ± 0.02 | 2.64 | 0.008** | |||
GIC (males) | Intercept | 3.17 ± 0.38 | 8.32 | 0.000*** | 77 | 7.10 |
Rain2 | 0.02 ± 2.77e-03 | 8.37 | 0.000*** | |||
GISsqrt | 0.19 ± 0.04 | 5.13 | 0.000*** | |||
Rain2*GISsqrt | -7.66e-04 ± 2.11e-04 | -3.63 | 0.000*** | |||
FGM | Intercept | 2.30e-04 ± 3.35e-05 | 6.863 | 0.000*** | 263 | 27.9 |
Rain2 | 2.91e-07 ± 9.60e-08 | 3.032 | 0.003** | |||
AgeC | -3.58e-05 ± 1.63e-05 | -2.205 | 0.028* | |||
GIPsqrt | -1.51e-06 ± 4.41e-07 | -3.420 | 0.001*** | |||
GISsqrt | 3.23e-06 ± 9.54e-07 | 3.390 | 0.001*** | |||
Rain2*GISsqrt | -1.40e-08 ± 5.85e-09 | -2.393 | 0.017* | |||
FGM | Intercept | 2.62e-04 ± 3.87e-05 | 6.78 | 0.000*** | 113 | 14.1 |
Sex | -5.61e-05 ± 4.16e-05 | -1.35 | 0.181 | |||
FEM | -6.45e-08 ± 1.63e-08 | -3.96 | 0.000*** | |||
Sex*FEM | 4.94e-08 ± 1.90e-08 | 2.61 | 0.011* | |||
FGM (males) | Intercept | 2.42e-04 ± 3.40e-05 | 7.11 | 0.000*** | 77 | 5.70 |
GIC4 | -3.43e-06 ± 5.07e-06 | -0.68 | 0.501 | |||
FTM | -1.08e-06 ± 2.98e-07 | -3.64 | 0.001*** | |||
GIC4*FTM | 9.65e-08 ± 5.44e-08 | 1.78 | 0.080. |
Significant coefficients (p≤ 0.05) are in bold.
The series of nested models (with different N) follow the same patterns listed in the caption for Table 3.
p≤0.1
*p≤0.05
**p≤0.01
***p≤0.001