Abstract
This study has been conducted to develop linear regression Models for computing total body relative isometric strength. Total 67 male subjects have been selected randomly from Delhi region with Decimal Age (20.68 ± 1.52), Height(169.25 ± 7.24), Weight (60.92 ± 9.84) and BMI (21.20 ± 2.56). They carried out three trials of each of isometric strength tests namely Hand grip strength test, leg strength dynamometer test and back strength dynamometer test. For data analysis the mean values of the three trials have been considered as reliable data. Standard test administration protocols have been followed and standard equipments (JAMAR hand grip dynamometer and TAKAI leg and back strength dynamometer) have been used for reliable and valid test results. Pearson correlation coefficients have been computed for measuring the relationship among strength variables and linear models have been developed through LinearRegression Modeling. Results: Total 17 Linear Models have been developed, among which two models have shown very high predicting capability of total body relative strength namely, Model (M13) with relative leg strength as predictor variable and having R2 = 0.800 and F = 260.086 and M15 with relative back strength as predictor variable and R2 = 0.484; F = 60.962.
Key Word: Regression Linear modeling, Isometric Strength tests, Relative Strength, Strength Evaluation
Author’s–Bharat Kumar, Dhananjoy Shaw