Table 3.

Regression model for FM estimation with BIA.

Source	SS	df	MS	F(2, 11)	P	R2	Adj R2	Root MSE
Model	0.878596	2	0.439298	122.3	<0.001	0.957	0.9491	0.05993
Residual	0.039511	11	0.003592
Total	0.918107	13	0.070624
log Fat-Mass	β	SE	t	P	95% CI		η2 [95% CI]
Weight	0.030007	0.002329	12.88	<0.001	0.02488	0.035133	0.938 [0.799; 0.963]
R/h2	0.006438	0.001205	5.34	<0.001	0.003785	0.00909	0.722 [0.296; 0.839]
intercept	−0.3035	0.324187	−0.94	0.369	−1.01703	0.410028

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.