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Table 6 Shows linear regression equations for stature estimation from foot length and breadth dimensions of the males, females, and the pooled sample

From: Predictive equations and multiplication factors for stature estimation using foot dimensions of an adult Nigerian population

Linear regression equations

 

Measurement (cm)

Linear regression equations

± SEE

R 2

Males (n = 200)

RFL

82.37 + 3.446 (RFL)

4.682

0.482

LFL

89.17 + 3.205 (LFL)

4.791

0.458

RFB

132.70 + 4.299 (RFB)

5.979

0.156

LFB

129.70 + 4.651 (LFB)

5.950

0.165

Females (n = 200)

RFL

79.57 + 3.409 (RFL)

4.949

0.459

LFL

74.84 + 3.629 (LFL)

4.715

0.509

RFB

127.10 + 4.087 (RFB)

6.285

0.127

LFB

128.30 + 3.998 (LFB)

6.319

0.118

Pooled sample (n = 400)

RFL

62.46 + 4.131 (RFL)

5.018

0.676

LFL

65.37 + 4.043 (LFL)

4.886

0.692

RFB

99.33 + 7.331 (RFB)

6.783

0.408

LFB

97.99 + 7.561 (LFB)

6.812

0.403

  1. *(P < 0.05), RFL right foot length, LFL left foot length, RFB right foot breadth, LFB left foot breadth. R2 coefficient of determination, SEE standard error of estimate