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For example, human body height is to be the length of eight heads, with an additional one-quarter head for neck length. Leg length is to be four head lengths. [1] Forensic estimation of stature is part of the identification process necessary when dismembered body parts are found. It is also possible to estimate the stature from bones. [2]
Arm span or reach (sometimes referred to as wingspan, or spelled armspan) is the physical measurement of the length from one end of an individual's arms (measured at the fingertips) to the other when raised parallel to the ground at shoulder height at a 90° angle. The arm span measurement is usually very close to the person's height.
legs (floor to crotch, which are typically three-and-a-half to four heads long; arms about three heads long; hands are as long as the face. [ 10 ] Leg-to-body ratio is seen as indicator of physical attractiveness but there appears to be no accepted definition of leg-length: the 'perineum to floor' measure [ e ] is the most used but arguably the ...
The mid-upper arm fat area (MUAFA) is an estimation of the area of the far portions of the upper arm, and is simply the difference between the MUAA and the MUAMA: [6] = [6] From the MUAFA is derived the arm fat index (AFI), a percentage of the arm that is fat, using the following formula: [6]
A correlation matrix appears, for example, in one formula for the coefficient of multiple determination, a measure of goodness of fit in multiple regression. In statistical modelling , correlation matrices representing the relationships between variables are categorized into different correlation structures, which are distinguished by factors ...
The ape index is usually defined as the ratio of arm span to height. However, an alternative approach is arm span minus height with the result being positive, 0 or negative. Unlike the dimensionless ratio, this calculation produces a numeric value in the units of measurement used to represent the height and arm span.
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.