Regression Equation Analysis on Inter-Acromial Length for Stature Estimation in South India Population
Journal Title: Indian Journal of Forensic Medicine and Pathology - Year 2019, Vol 12, Issue 1
Abstract
Background: Stature of Humans has acted as symbol for the authority, also physical prowess and there had been dominance of stature over other living things. Identity of individual or skeleton remains especially the stature also the body weight had acted as an important factor in its establishment. Place of Study: Department of Forensic Medicine Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Material and Method: The study is made on the Volunteers. Total 194 subjects were selected irrespective of their caste, religion, dietary habits & socio-economic status at Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Observation and Discussion: Stature of Male is highly correlated to Inter-Acromial length (i.e. Correlation coefficient = 0.827) with p-value is 0.000000. Therefore, Regression equation of Male Inter- Acromial length on stature is, Inter-Acromial Length = 0.239 x Stature + 5.4532. Similarly for Female Stature is highly correlated to Inter-Acromial length (i.e. Correlation coefficient = 0.70) with p-value is 0.0000. Therefore, Regression equation of Female Inter- Acromial length on stature is, Inter-Acromial Length = 0.243 x Stature + 3.657 Combined Stature and Inter-Acromial length is highly correlated (i.e. Correlation Coefficient = 0.8163) with p-value is 0.00000. Therefore, the Regression equation of combined Inter- Acromial length on stature is, Inter Acromial Length = 0.2584 x Stature + 1.69481. Conclusion: The present study has established definite correlation between stature and Inter acromial length and also regression equations have been established.
Authors and Affiliations
Nishat Ahmed Sheikh
Keywords
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- EP ID EP624749
- DOI 10.21088/ijfmp.0974.3383.12119.3
- Views 78
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