Appendix B. Analysis of deviance tables.
TABLE B1. Analysis of deviance table for a generalized linear model with binomial response. Explanatory variables are observation day and isolation (distance to third nearest neighbor). The response is bee visitation (yes/no) within 20 minutes. Parameter estimates for the additive model are shown in Fig. 1a.
Explanatory |
Model df |
Model deviance |
Test df |
Test deviance |
Test P value |
offset |
728 |
865.01 |
|
|
|
obsday |
699 |
750.14 |
29 |
114.86 |
<0.0001 |
obsday + log(iso3) |
698 |
746.14 |
1 |
4.00 |
0.05 |
obsday × log(iso3) |
669 |
718.16 |
29 |
27.98 |
0.52 |
Note: all models include log(minutes observed) as a known linear predictor (offset).
TABLE B2. Analysis of deviance table for a generalized linear model with binomial response. Explanatory variables are observation day and population size. The response is bee visitation (yes/no) within 20 minutes. Parameter estimates for the additive model are shown in Fig. 1b.
Explanatory |
Model df |
Model deviance |
Test df |
Test deviance |
Test P value |
offset |
768 |
899.22 |
|
|
|
obsday |
739 |
775.10 |
29 |
124.12 |
<0.0001 |
obsday + log(popSize) |
738 |
772.89 |
1 |
2.21 |
0.14 |
obsday × log(popSize) |
710 |
740.57 |
28 |
32.32 |
0.26 |
Note: all models include log(minutes observed) as a known linear predictor (offset).