Multivariate Regression Model for Total Body Water Estimation by Non-Invasive Way

This paper shows total body water (TBW) measurement models for human body based on multivariate regression analysis by non-invasive way. A total number of 1500 people's data (750 male and 750 female) have been used to develop two models. For developing different model for male and female, two models have been developed.To validate the proposed models some major statistical analysis have been considered. Statistical analysis reports exhibit excellent accuracy i.e. correlation coefficient is close to unity (0.998, 0.997), presence of error within the 95% of Limit of Agreement, less bias (0.03), 0.24) and less RMSE (0.82, 0.69) and hence the proposed models will be able to measure total body water more accurately than existing models.