Qeyri̇-Xətti̇ Reqresi̇ya Modeli̇ Vasi̇təsi̇lə Sürət Keyfi̇yətləri̇nə Nəzarəti̇n Yeri̇nə Yeti̇ri̇lməsi̇

Key Points

• This research aims to apply a nonlinear regression model to monitor speed qualities in athletes and understand physiological and biomechanical relationships.
• Developed a nonlinear regression model based on empirical data from athletes.
• Analyzed the dependency between physiological and biomechanical indicators using a second-degree parabolic equation.
• Created regression equations for athletes at various skill levels.
• Identified significant relationships between physiological and biomechanical indicators.
• Established regression equations that help predict athletes’ strengths and weaknesses.
• Enabled coaches to organize targeted training tasks based on performance data.