Two reduced strength scaled equations of the lower and upper body of the older population, based on gender, segment mass and age, using Multiple Linear Regression (MLR) and Cumulative Approximation (CA) have been presented and proven to further improve the accuracy of strength scaling in the AnyBody Modeling System™ (AMS). Contrary to the initial hypothesis, CA did not produce a more accurate prediction of strength compared to MLR. The two-fold and leave-one-out methods established a high degree of cross-validation in the MLR models.     «

Two reduced strength scaled equations of the lower and upper body of the older population, based on gender, segment mass and age, using Multiple Linear Regression (MLR) and Cumulative Approximation (CA) have been presented and proven to further improve the accuracy of strength scaling in the AnyBody Modeling System™ (AMS). Contrary to the initial hypothesis, CA did not produce a more accurate prediction of strength compared to MLR. The two-fold and leave-one-out methods established a high degre...     »