TABLE 2.

Regression analyses output.

Factor	Coefficient	t-value	p-value
Log(BMI) and total body fat regression model (r = 0.8476, adjusted r 2 = 71.84%)
Age (years)	−1.0262	−35.01	<0.001
log10(BMI) [log10(kg/m2)]	62.8960	70.07	<0.001
Sex	7.7910	44.13	<0.001
Regression constant	−44.7900	−40.56	<0.001
Total body fat and head fat linear regression model (r = 0.6939, adjusted r 2 = 48.16%)
Age (years)	−0.0544	−22.73	<0.001
Total body fat (%)	0.0456	44.79	<0.001
Sex	−0.4571	−25.27	<0.001
Regression constant	23.5743	522.98	<0.001
Total body fat and head fat quadratic regression model (r = 0.7269, adjusted r 2 = 52.84%)
Age (years)	−0.0609	−26.34	<0.001
Total body fat (%)	−0.0492	−8.66	<0.001
[Total body fat (%)]2	0.0015	16.94	<0.001
Sex	−0.4026	−22.93	<0.001
Regression constant	24.9762	267.81	<0.001
BMI and head fat regression model (r = 0.7056, adjusted r 2 = 49.78%)
Age (years)	−0.1069	−41.99	<0.001
BMI (kg/m2)	0.0624	46.46	<0.001
Sex	−0.1125	−7.22	<0.001
Regression constant	24.0467	622.37	<0.001