Traits in the model | k | AIC | Δi | Likelihoods |
w
i
| Evidence Ratio |
---|
Preferred model | 7 | 893.91 | 0 | 1 | 0.6066 | Â |
Head Height | 8 | 895.7 | 1.79 | 0.4099 | 0.2478 | 2.4473 |
Tail Muscle Height | 9 | 897.69 | 3.78 | 0.151 | 0.0916 | 6.6194 |
Head Height2 | 10 | 899.81 | 5.9 | 0.0523 | 0.0317 | 19.106 |
Tail Muscle Height2 | 11 | 901.23 | 7.32 | 0.0257 | 0.0156 | 38.8613 |
Tail Fin Height2 | 12 | 902.95 | 9.04 | 0.0108 | 0.0066 | 91.8356 |
- AIC score = Akaike Information Criterion; Δ
I
= difference in AIC scores between the best model and subsequent model; w
i
= normalized relative likelihood of the model given the data; Evidence Ratio = the relative odds that a model is the best given the data. The first row of the table represents the preferred model, which includes linear terms for Head Length, Tail Length, and Tailfin Height, and quadratic terms for Head Length and Tail Length (see Table 4). Subsequent rows show the influence of adding each indicated trait in succession. Traits labeled with a superscript "2" represent quadratic terms.