回归法推断手印和足迹与身高和体重的关系

Estimation of Stature and Avoirdupois by Footprint and Fingerprint with Regression Equations

目的探讨身高、体重与足迹、手印长宽的关系。方法通过足迹、手印的捺印和测量,大量地收集样本足迹、手印与身高、体重等数据,借助SPSS数理统计软件,进行一元线性回归分析。结果分别建立了由左右足迹、手印全长、掌宽推算身高与体重的10个一元线性回归方程,并对依据各个指标分别推算结果的可靠性进行比较研究。结论本研究建立的回归方程可用于山东地区部分人群的身高与体重推算;依据足迹较依据手印推算身高体重结果更可靠;在左右两侧足迹、手印都可利用的情况下,推断身高时应优先选用右侧;推断体重时应优先选用左侧。

Objective To study the correlation between stature, avoirdupois and the length or width of footmark and fingerprint. Methods 866 people were investigated by measuring the length and width of fingerprints and footprints, as well as stature and avoirdupois. Then all data was input into computer and analyzed by using SPSS 11.0. Results The length of the footprints or fingerprints positively and highly correlate with the stature （P〈0.001）. Four regression equations were established for estimating the stature by the length of fingerprints and footprints, and other six equations were established for avoirdupois estimation by the width of them. All equations have statistical significant （P〈0.001）. Conclusion These equations can be used to estimate stature or avoirdupois in some special area. The estimative figure from footprints is more credible than that from fingerprints. The estimated stature according to right hand or foot is more credible, and the estimated avoirdupois according to left hand or foot is more credible.