Fig. 1

Lean body mass (LBM) and Fat Mass (FM) measured by bio-impedance are compared with the same variables estimated from just height and weight. There were 146 men and 88 women, R-squared values of 86, 85.5, 71.9 and 62.1% show the model to be reasonably accurate (R² = Percentage of response variable variation that is explained by its relationship with one or more predictor variables. In general, the higher the R², the better the model fits your data. R² is always between 0 and 100%. It is also known as the coefficient of determination or multiple determination (in multiple regression). The adjusted R-squared is a modified version of R-squared that has been adjusted for the number of predictors in the model. S represents the standard deviation of the distance between the data values and the fitted values