Table 1.
Terms in the Model | Parameters | Log likelihood | AICc | ΔAICc | Akaike weight |
---|---|---|---|---|---|
1) Sex + treatment | 7 | −439.8 | 893.9 | 0 | 0.258 |
2) Sex + treatment + wing area + (treatment·wing area) | 10 | −436.8 | 894.1 | 0.24 | 0.229 |
3) Sex + treatment + wing area | 8 | −439.5 | 895.4 | 1.55 | 0.119 |
4) Sex + treatment + (sex·treatment) | 9 | −438.5 | 895.6 | 1.70 | 0.110 |
5) Sex + treatment + wing area + (sex·wing area) + (treatment·wing area) | 11 | −436.7 | 896.2 | 2.27 | 0.083 |
6) Sex + treatment + wing area + (sex·treatment) | 10 | −438.4 | 897.3 | 3.42 | 0.047 |
7) Sex + treatment + wing area + (sex·wing area) | 9 | −439.5 | 897.5 | 3.65 | 0.042 |
8) Sex + treatment + wing area + (sex·treatment) + (treatment·wing area) | 12 | −436.5 | 897.8 | 3.91 | 0.036 |
9) Sex | 5 | −444.2 | 898.5 | 4.61 | 0.026 |
Likely models are ranked according to their Akaike information criterion (AIC c). For each model, we provide the Akaike weight, which equals the probability that the model describes the data better than the other models. All models contained an intercept and error terms associated with population and isofemale line.