Estimation of stature from cephalo-facial dimensions by regression analysis in Indo-Mauritian population
Arun Kumar Agnihotri1, Smita Kachhwaha, Krishna Googoolye
1Department of Forensic Medicine, SSR Medical College, Mauritius. agnihotri_arun@hotmail.com
Abstract:
Determination of stature from fragmented human remains is vital part of forensic investigation for the purpose of identification. The present study was aimed to modelling the stature both for male and female separately on the basis of craniofacial dimensions. The study was conducted on 150 young and healthy students (75 males and 75 females) in the age group ranging from 20 to 28 years. The stature and fourteen cephalo-facial dimensions were measured on each subject by using standard anthropometric instruments. It is remarked that the stature and craniofacial measurements of males were significantly higher than that of females, except for nasal height where no significant difference was observed (p > 0.05). The correlation coefficients (r) of all cephalo-facial dimensions were less than 0.5. It means the estimation of stature is not reliable with the help of cephalo-facial dimensions.
Related Concept Videos
Regression Toward the Mean
Nature and Nurture
Polygenic Traits
Variation: Normal Distribution, Range, and Standard Deviation
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:


