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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.