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In vertical jump performance, the goal of the task is simply to jump as high as possible. In many sports, the height at which an athlete can jump is often of critical importance, as well as the maximal force applied during the vertical jump. In the absence of resistance to air and other external forces, the projection of the center of gravity COG of the whole body is completely determined by the vertical velocity at the moment of takeoff and the acceleration due to gravity. However, this quality does not fully describe the full jump and height achieved. This study aims to use the multiple regression method in both CMJ and SJ vertical jump tests, to understand whether vertical jump performance for Hmax and Fmax respectively parameters, can be predicted based on anthropometric variables such as: age, height, and body mass, as well as biomechanical variables such as: vmax, F.tot.rel, EFI and efficiency. Multiple regression method allows to determine the overall fit of the model and the relative contribution of each of predictor to the total variance explained. The equations of regression for this team emerged these parameters as the best predictor of the main variables for each test: for Hmax in CMJ test: vmax and body mass; and for Fmax in SJ test: body mass and Pmax/kg.

An Experimental Model on Multiple Regression Analysis in CMJ and SJ Jump Tests on 10-14 Years Old Players of Tirana Football Club