TABLE 3.
(a) Model comparison | ||||
Model | AIC | ΔAIC | Weight | |
Genotype*Food | 3381.32 | 0.00 | 0.94 a | |
Genotype + Food | 3387.27 | 5.94 | 0.05 | |
Genotype | 3390.66 | 9.34 | 0.01 | |
Food | 3403.55 | 22.23 | 0.00 | |
(b) Summary of Best Model | ||||
Model: Count ~ Genotype * Food + (1| Replicate Population) | ||||
Predictor | Level | Coefficient ± SE | z score | p value |
(Intercept) | 2.82 ± 0.09 | 32.63 | <.001*** | |
Genotype | Resistant | −0.17 ± 0.12 | −1.41 | .159 |
Food | HB101 | 0.03 ± 0.12 | 0.28 | .782 |
Genotype:Food | Resistant: HB101 | −0.51 ± 0.18 | −2.88 | .004** |
Each row corresponds to a different statistical model, and the columns show the terms, the AIC score, ΔAIC, and Akaike weight for each model. The best model (lowest AIC and ΔAIC, highest weight) is indicated in bold.
*p < .05; **p < .01; ***p < .001.