1.Comprehensively analysis the correlation between the height of a person and the length of his/her footprint.
Xiang-yang HU ; Hui-fang YAO ; Jian-hui LIN
Journal of Forensic Medicine 2005;21(1):15-18
		                        		
		                        			OBJECTIVE:
		                        			Comprehensively analysis the correlation and the law of variation between the height of a person and the length of his/her footprint.
		                        		
		                        			METHODS:
		                        			Collecting footprint samples of those people of different age and sex from different area all of our country, and adopt the regressive analysis method to study these samples.
		                        		
		                        			RESULTS:
		                        			A sum of useful data and regressive equation were obtained.
		                        		
		                        			CONCLUSION
		                        			The correlation between the height of a person and the length of his/her footprint is obviously, the approximate height of a person can be reckoned according to thelength of his/her footprints.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Age Factors
		                        			;
		                        		
		                        			Body Height
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Foot/anatomy & histology*
		                        			;
		                        		
		                        			Forensic Medicine/methods*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Regression Analysis
		                        			;
		                        		
		                        			Sex Factors
		                        			;
		                        		
		                        			Shoes/classification*
		                        			
		                        		
		                        	
            
Result Analysis
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