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Table 2 Accuracy statistics for the regression model between natural log OCW and natural log body mass using the all taxon, species average dataset under several different ordinary least squares (OLS) and phylogenetic least squares (PGLS) regression models

From: Occipital condyle width (OCW) is a highly accurate predictor of body mass in therian mammals

Method

Regression

AIC

BIC

logLik

df

r2adj

%PE

CF

%PEcf

%SEE

OLS

Linear

441

453

− 217

402

0.9784

34.88

0.905

38.99

51.50

OLS

1/2 power

409

421

− 201

402

0.9810

32.70

1.145

31.28

49.09

OLS

1/3 power

455

467

− 224

402

0.9777

35.22

1.260

33.80

52.63

OLS

2/3 power

389

401

− 192

402

0.9811

32.03

1.047

31.09

47.69

OLS

3/4 power

391

403

− 193

402

0.9809

32.21

1.004

32.10

47.82

OLS

Quadratic

391

407

− 192

401

0.9810

32.05

1.068

30.98

47.73

OLS

Cubic

393

413

− 191

400

0.9809

32.04

1.055

31.05

47.79

PGLS

Linear

420

432

− 207

402

70.12

1.725

34.30

309.11

PGLS

1/3 power

367

379

− 180

402

75.61

1.953

32.95

276.45

PGLS

2/3 power

368

380

− 181

402

68.88

1.754

31.56

276.00

PGLS (OU)

2/3 power

394

406

− 194

402

32.00

1.046

31.08

47.45

  1. Abbreviations: PGLS (OU), phylogenetic least squares under an Ornstein-Uhlenbeck model (rather than Brownian); AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; logLik, log likelihood; df, degrees of freedom; r2adj, adjusted r2 value; %PE, percent prediction error; CF, averaged correction factor (see “Methods”); %PEcf, percent prediction error after applying correction factor; %SEE, standard error of estimate