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Table 6 Discriminant functions based on the left-side measurements

From: Estimating sex using discriminant analysis of mandibular measurements from a modern Greek sample

Equation

Wilks’ Lambda

Sig.

Group centroids and sectioning point

Correctly classified

Original

Cross-validated

Function 1a

0.587

< 0.001

♀-0.915, [−0.077], ♂0.761

83.20%

81.60%

 (BicBR × 0.028) + (BigBR × 0.065) + (MinRBR × − 0.014) + (BL × − 0.042) + (MaxML × 0.174) − 26.748

Function 2b

0.506

< 0.001

♀− 1.074, [− 0.088], ♂0.898

84.30%

84.30%

 (BigBR × 0.056) + (CGL × 0.117) + (MaxML × 0.109) − 25.455

Function 3b

0.399

< 0.001

♀− 1.36, [− 0.136], ♂1.088

89.90%

84.80%

 (BicBR × − 0.017) + (BigBR × 0.101) + (BicrBR × 0.002) + (SyH × 0.024) + (SyBR × − 0.020) + (RH × − 0.010) + (CGL × 0.154) + (MaxBL × − 0.034) + (MaxML × 0.099) − 26.007

Function 4b

0.497

< 0.001

♀-1.095, [− 0.0895], ♂0.916

85.30%

84.80%

 (BigBR × 0.069) + (CGL × 0.122) + (MaxBL × − 0.056) + (MaxML × 0.128) − 24.741

Function 5c

0.546

< 0.001

♀− 0.981, [− 0.0715], ♂0.838

83.80%

82.20%

 (MRH × 0.179) + (PRH × − 0.047) + (CH × 0.098) + (MaxRBR × 0.123) + (MinRBR × − 0.166) − 15.675

Function 6c

0.619

< 0.001

♀-0.848, [− 0.065], ♂0.718

79.20%

78.60%

 (CH × 0.182) + (MaxRBR × 0.169) + (MinRBR × − 0.159) − 13.474

Function 7d

0.626

< 0.001

♀− 0.832, [−0.06], ♂0.712

77.70%

77.20%

 (MRH × 0.211) + (MaxRBR × 0.027) − 15.299

Function 8d

0.61

< 0.001

♀− 0.86, [−0.062], ♂0.736

80.30%

80.30%

 (MRH × 0.245) + (MinRBR × − 0.107) − 13.339

Function 9e

0.545

< 0.001

♀− 0.997, [− 0.084], ♂0.829

84.30%

82.70%

 (BicBR × 0.014) + (BigBR × 0.055) + (MRH × 0.116) + (MaxML × 0.082) − 24.524

Function 10f

0.525

< 0.001

♀− 1.029, [− 0.0795], ♂0.87

83.20%

82.10%

 (RH × 0.086) + (CH × 0.079) + (MaxML × 0.100) − 22.525

Function 11g

0.538

< 0.001

♀− 1.003, [− 0.078], ♂0.847

83.70%

83.20%

 (MRH × 0.045) + (CH × 0.088) + (MaxML × 0.118) − 22.900

Function 12h

0.542

< 0.001

♀− 0.995, [− 0.0775], ♂0.84

84.20%

83.20%

 (CH × 0.110) + (MaxML × 0.138) − 23.604

Function 13f

0.518

< 0.001

♀− 1.05, [− 0.086], ♂0.878

83.20%

82.70%

 (RH × 0.066) + (CGL × 0.095) + (MaxML × 0.109) − 22.949

Function 14g

0.523

< 0.001

♀− 1.039, [− 0.085], ♂0.869

84.30%

83.80%

 (MRH × 0.041) + (CGL × 0.104) + (MaxML × 0.118) − 23.137

Function 15i

0.527

< 0.001

♀− 1.031, [− 0.0845], ♂0.862

84.80%

84.30%

 (CGL × 0.123) + (MaxML × 0.137) − 23.774

  1. aFunction based on Steyn and Ä°ÅŸcan (1998)
  2. bFunction based on Franklin et al. (2008)
  3. cFunction based on Saini et al. (2011)
  4. dFunction based on Lin et al. (2014)
  5. eFunction based on Dong et al. (2015)
  6. fA combination of the five variables with the highest univariate discriminating capacity. Their corresponding DFA analysis using the stepwise method yielded identical function and accuracy
  7. gA combination of the five variables with the highest univariate discriminating capacity
  8. hThe outcome of the stepwise DFA analysis using the variables of function 11
  9. iThe outcome of the stepwise DFA analysis using the variables of function 14