Table 5 The GLM ANCOVA three-factor (sex, age, height) analyses for outcome variables the right 2D:4D ratio in total sample (until 30 years old), and prepubertal, pubertal, and young age cohorts from European population.

From: Sex, population origin, age and average digit length as predictors of digit ratio in three large world populations

Age groups

Dependent variable

R2

df

Independent variables

F

P

η2

Total

sample

R2D:4D

0.064

1

Sex

135.445

1.736E−30

0.054

1

Age

6.613

0.010

0.003

1

Height

0.032

0.859

0.000

Until 13 years old

R2D:4D

0.077

1

Sex

56.125

2.063E−13

0.074

1

Age

0.794

0.373

0.001

1

Height

0.105

0.745

0.000

14–18 years old

R2D:4D

0.121

1

Sex

37.977

9.6081E−10

0.029

1

Age

11.184

0.000849

0.009

1

Height

1.182

0.277

0.001

19–30 years old

R2D:4D

0.121

1

Sex

20.786

0.000007

0.048

1

Age

2.068

0.151

0.005

1

Height

1.531

0.217

0.004

  1. R2 R Squared, df degrees of freedom, F F test statistics, p statistical significance, η2 Partial Eta Squared effect size.
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