| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 102942 | Journal of Forensic and Legal Medicine | 2007 | 5 Pages |
Abstract
The aim of this study was to develop a relationship between foot length and stature using linear and curvilinear regression models. Measurements of foot length and stature were taken from 250 medical students (125 males and 125 females) aged 18–30 years. General multiple linear regression model was highly significant (P < 0.001) and validated with highest values for the coefficients of determination R2 = 0.769 and multiple correlation coefficient r = 0.877. Right foot length, sex and age explained for about 77% variations in stature.
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Authors
Arun Kumar Agnihotri, Brijesh Purwar, Kreshna Googoolye, Smriti Agnihotri, Nilima Jeebun,