Table 3.

Regression model for the prediction of FFM (kg).

Variables included in the model	Regression coefficient	r2	SEE	p-value	Collinearity statistics
					Tolerance	VIF
Constant	+26,771			<0.001
Height	+0.143	0.648a	7.138	<0.001	0.293	3.409
Weight	+0.725	0.806b	5.307	<0.001	0.130	7.695
Sex	−7.942	0.884c	4.118	<0.001	0.355	2.816
Age	−0.087	0.893d	3.963	<0.001	0.799	1.252
Hip Circumference	−0.328	0.902e	3.791	<0.001	0.182	5.489
Waist Circumference	−0.154	0.909f	3.669	<0.001	0.251	3.989

SEE, standard error of the estimate; VIF, variance inflation factor. Predictors: ^a(Constant), Height; ^b(Constant), Height, Weight; ^c(Constant), Height, Weight, Sex; ^d(Constant), Height, Weight, Sex, Age; ^e(Constant), Height, Weight, Sex, Age, Hip Circumference; ^f(Constant), Height, Weight, Sex, Age, Hip Circumference, Waist Circumference. The r² change was significant for a, b, c, d, e, and f.