Regression Modeling of Linear and Angular Kinematical Variables in Javelin Throw Power Position for Performance Prediction

This study investigates regression modeling of linear and angular kinematical variables during the javelin throw power position to predict performance among 20 senior national-level Indian athletes aged 20-28. High-speed videography (240 fps) and Kinovea software facilitated measurement of variables like center-of-gravity velocity, joint angles (ankle, knee, hip, shoulder, elbow, wrist), and throw distance from the best of three trials. Multiple regression analysis identified the right shoulder angle as a significant predictor (R² = 0.661, F = 35.056, p<0.001), explaining 66.1% of performance variance. The equation-Performance = 49.348 - 0.206 × (Right Shoulder Angle)-demonstrates that minimized shoulder angles enhance torque generation and energy transfer. These findings align with kinematic studies emphasizing shoulder positioning's role in kinetic chain efficiency. The model offers coaches practical guidance for power position technique optimization, with future research recommended for multivariate integration of linear-angular interactions to improve predictive accuracy in elite javelin training.