1Principal (Off), I.G.I.P.E.S.S, University of Delhi
2Ph. DScholar, Department of Physical Education and Sports Sciences, University of Delhi, New Delhi, India
Online published on 7 December, 2019.
The purpose of this study was to develop linear regression models for measuring total body isometric strength. For fulfilling this objective 67male subjects from Delhi region have been randomly selected with Decimal Age (20.68 ± 1.52), Height (169.25 ± 7.24), Weight (60.92 ± 9.84) and BMI (21.20 ± 2.56). The subjects have undergone three trials of each three strength tests namely Hand grip strength test (right and left hand), leg strength test and back strength test. The mean values of all the three trials have been used for the calculation. For reliable and valid test results, tests were administered with standard protocols and with standard equipments (JAMAR hand grip dynamometer and TAKAI leg and back strength dynamometer). To calculate the relationship among the strength variables Pearson Correlation Coefficients were computed and the Linear Models were developed through Linear regression. Total 17 Linear Models have been developed, among which two models have shown very high predicting capability of total body strength namely, Model (M12) with leg strength as predictor variable and having R2 = 0.853 and F = 376.892* and M14 with back strength as predictor variable and R2 = 0.711; F = 159.869.
Regression Linear modeling, Isometric Strength, Absolute Strength, Strength Evaluation