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The possibilities of using mathematical statistics methods in the development of technologies for selection promising volleyball players

Annotation

In professional sports methods of forecasting and selecting both the results of sports competitions and the prospects of individual athletes for achieving higher sports results are of great interest. As part of the study one-way statistical analysis of the correlation of achieving sports results speed with variables that characterize the individual characteristics of volleyball players is conducted. The source of information were the psychological, physical, tactical and technical, physiological and functional characteristics of athletes, as well as survey data and dynamic performance of obtaining results speed. It is revealed that a statistical significant correlation with the rate of movement among volleyball players have six variables: maximal anaerobic capacity, height, stamina, motor response speed, explosive power, attention. Mathematical model for forecasting the obtaining results speed involves four variables, coefficients of which are used to build the regression equation. We developed a forecasting technique using binary logistic regression analysis that allows us to select, with an accuracy of 69.7 %, among young vocalists of the people, with different rates of achievement of the sports result, which will allow with a differentiated approach the trainer-to-teaching staff to achieve higher sports results and improve the process of workouts.

Keywords

volleyball; forecasting technique; logistic regression analysis; sport result

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DOI

10.20310/1810-0201-2018-23-172-65-71

UDC

37.022+796.325+519.25

Pages

65-71

References

1. Avdeev Y.V., Kolobkov P.A., Sokolova F.M., Alekseeva E.D. Perspektivnye metody professional'nogo otbora bortsov [Advanced methods for wrestlers’ professional selection]. Uchenye zapiski universiteta im. P.F. Lesgafta [Scientific Notes of P.F. Lesgaft University], 2013, no. 12 (106), pp. 7-10. (In Russian). 2. Bakulev S.E., Taymazov V.A. Genealogicheskie osnovy prognozirovaniya uspeshnosti sorevnovatel'noy deyatel'nosti edinobortsev [Genealogical bases of forecasting the success of competitive activity of martial artists]. Uchenye zapiski universiteta im. P.F. Lesgafta [Scientific Notes of P.F. Lesgaft University], 2006, no. 19, pp. 7-14. (In Russian). 3. Guba V.P. Teoriya i metodika sovremennykh sportivnykh issledovaniy [Theory and Methods of Modern Sports Research]. Moscow, Sport Publ., 2016, 232 p. (In Russian). 4. Taymazov V.A., Bakulev S.E. Prognozirovanie uspeshnosti sorevnovatel'noy deyatel'nosti sportsmenov s uchetom geneticheskikh osnov treniruemosti [Forecasting the success of competitive activities of athletes in view of the genetic foundations of training]. Uchenye zapiski universiteta im. P.F. Lesgafta [Scientific Notes of P.F. Lesgaft University], 2005, no. 18, pp. 81-90. (In Russian). 5. Akhmetov I.I., Mustafina L.D., Nasibulina E.S. Mediko-geneticheskoe obespechenie detsko-yunosheskogo sporta [Medical-genetic support to the children and youth sports]. Prakticheskaya meditsina – Practical Medicine, 2012, no. 7 (62), pp. 62-66. (In Russian). 6. Nasledov A. SPSS 19: professional'nyy statisticheskiy analiz dannykh [SPSS 19: Professional Statistical Analysis]. St. Petersburg, Piter Publ., 2011, 400 p. (In Russian).

Received

2017-10-25

Section of issue

Theory and methods of physical training teaching

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