Regression statistics of maximum prolonged-swimming speed on predictor variables.

Estimates from phylogenetic generalized least squares regression with λ estimated by maximum likelihood (λ is a parameter that controls the influence of the phylogenetic variance-covariance matrix on the estimates). In all models in both datasets, λ was less than 0.0001, indicating that the resulting GLS regression was reduced to an OLS regression. The β are standard partial regression coefficients, P is the probability of the effect. AICc is the small sample size corrected Akaike Information Criterion. AdjR2 is the R2 adjusted for the number of parameters in the model. The predictor variables are f (body fineness ratio), f2, AR (propulsive fin aspect-ratio), and logM (body mass). The model-averaged regression coefficients are given in Fig. 5.