Table 2.

Regression model for FM estimation with Anthropometry.

Source	SS	df	MS	F(4, 9)	P	R2	Adj R2	Root MSE
Model	0.880474	4	0.220118	196.23	<0.001	0.9887	0.9836	0.03349
Residual	0.010096	9	0.001122
Total	0.890569	13	0.068505
log Fat-Mass	β	SE	t	P	95% CI		η2 [95% CI]
Weight	0.016	0.001	15.97	<0.001	0.014	0.018	0.966 [0.867; 0.980]
log biceps SK	0.180	0.031	5.82	<0.001	0.110	0.250	0.790 [0.358; 0.882]
log suprail SK	0.255	0.039	6.57	<0.001	0.167	0.343	0.827 [0.441; 0.902]
Thigh SK	0.012	0.003	4.02	0.003	0.005	0.018	0.642 [0.130; 0.800]
Intercept	0.658	0.085	7.76	<0.001	0.466	0.850

Note: SS, the sum of squares; df, degrees of freedom; MS, mean of squares; F, Snedecor-Fisher statistical test; P, p-value; R², the goodness of fit; Adj R², adjusted R²; MSE, mean of squares error; β, regression coefficient; SE, standard error; t, student's statistical test; CI, confidence interval; η², eta-squared effect size; suprail., supra-iliac; SK, skinfold thickness.