Table 8.

Prediction of fat fraction from BMI for Caucasian + Black + Hispanic subjects.

Subjects	Linear			Model I			Model II
	a	b	MSR	f1	BMI0	MSR	f1	f0	BMI0	MSR
Male: 18 – 89	-.145	.0134	.0038	.594	16.71	0.00385	.647	.129	22.00	0.00377
Male: 18 – 31	-.201	.0134	.00273	.543	19.39	0.00315	.706	.118	23.78	0.00261
Male: 32 – 50	-.133	.0119	.00303	.505	16.54	0.00312	.619	.153	23.54	0.00281
Male: 51 – 89	-.126	.0136	.00310	.628	16.28	.00299	.661	.167	21.43	0.00283
Female: 18 – 90	+.0494	.0109	.00351	.728	13.50	.00276	.745	.220	19.65	0.00272
Female: 18 – 31	-.00685	.0116	.00237	.695	13.99	.00225	.774	.214	21.30	0.00181
Female: 32 – 50	+0.0700	.00963	.00306	.723	13.86	.00212	.737	.208	19.71	0.00209
Female: 51 – 90	+0.106	.0101	.00225	.681	11.57	.00210	.682	.249	18.28	0.00210

Model parameters and mean square residual error (MSR) for Model I, Model II and Linear fit are listed.