Lunges Performance Predicted By Multiple Linear Regression Model With Muscle Architectural Parameters

Abstract

Purpose:- The primary objective of this research was to predict using a multivariate regression equation using muscle architecture parameters.

Materials and methods. The study sample consisted of 30 recreationally active male students from Gwalior, Madhya Pradesh. One repetition maximum multiple lunges test was used to determine maximum strength. Muscle architectural parameters (Vastus Laterialis, Pennation Angle, Fascicle Length, and Muscle Thickness) were measured using B-mode ultrasonography.

Results. The selected muscle architectural parameters i.e. Fascicle Length, Muscle Thickness and Pennation Angle of vastus laterialis, t-values were 3.485,-2.577 and -4.256 respectively. For all the three regression coefficients are significant as their significance values (p values) are less than

1. Lunge performance was predicted by a multivariate regression equation using vastus lateralis muscle architectural parameters.

Conclusions. The developed regression equation for predicting lunges performance was Y2 =

104.371 + 3.464 (VL_FL) -7.959 (VL_MT)-2.678 (VL_PA).  This multiple regression model explained 79.8% of the variation