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Table 7 Comparison of linear (eq. (16)) and non-linear (eq. (9)) regression expressions for predicting body fat fraction from BMI and age.

From: Erratum to: Physiological models of body composition and human obesity

Subjects ± Age Linear Non-linear Model I
   a b c MSR BMI0 f1 c MSR
Male Caucasians No -.166 .0141 ---- 0.00404 17.20 .624 ---- .00409
  Yes -.218 .0129 .00207 0.00263 19.15 .500 .00194 .00287
Male Caucasian +Hispanic+Black No -.145 .0134 ----- .00380 16.71 .594 ---- .00385
  Yes -.206 .0127 .00182 0.00270 18.73 .496 .00172 .00288
Male Asian Yes -.156 .0126 .00169 0.00201 15.72 .438 .00169 .00212
Male Puerto Rican Yes -.155 .0119 .00163 0.00189 17.84 .536 .00150 .00188
Female Caucasian No 0.0409 .0113 ----- 0.00391 13.50 .739 ----- .00314
  Yes -.0240 .0104 .00186 0.00281 14.39 .635 .00151 .00244
Female Caucasian +Hispanic+Black No 0.0494 .0109 ------ .00351 13.50 .728 ----- .00276
  Yes -.0160 .0104 .00169 0.00260 14.37 .642 .00132 .00222
Female Asian Yes -.0903 .0153 .00122 0.00137 12.38 .573 .00122 .00140
Female Puerto Rican Yes 0.0718 .00919 .000947 .00159 12.82 .639 .000737 .00142
  1. The regression parameters (either a, b and c; or BMI0, f1 and c) and the mean square residual error (MSR) for the different ethnic groups are listed.