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

<p>Estimates from phylogenetic generalized least squares regression with <i>λ</i> estimated by maximum likelihood (<i>λ</i> is a parameter that controls the influence of the phylogenetic variance-covariance matrix on the estimates). In all models in both datasets, <i>λ</i> was less than 0.0001, indicating that the resulting GLS regression was reduced to an OLS regression. The <i>β</i> are standard partial regression coefficients, <i>P</i> 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 <i>f</i> (body fineness ratio), <i>f</i>², <i>AR</i> (propulsive fin aspect-ratio), and log<i>M</i> (body mass). The model-averaged regression coefficients are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075422#pone-0075422-g005" target="_blank">Fig. 5</a>.