Authors:
Łukasz Płóciennik
and
Igor Ryguła
Affiliation:
Academy of Physical Education and Sport, Poland
Keyword(s):
Powerlifting, Selection Model, Discriminant Analysis, Classification Functions.
Related
Ontology
Subjects/Areas/Topics:
Computer Systems in Sports
;
Simulation and Mathematical Modeling
;
Sport Science Research and Technology
;
Sport Statistics and Analyses
Abstract:
The variability of the sport result obtained in powerlifting (PL) causes a few profound problems within coaching practice. One of them is the issue that concerns assigning individuals to particular training group of fitness level. Simply, this process is called selection. Since PL does not have any scientific-based selection algorithm we reckon, it is necessary to project it, with the idea to rationale the procedure. Thus the aims of the study were to construct discriminant and classification functions. A group of thirty-two powerlifters was selected for the investigation (22,397 yr ± 0,826). The average sport result was 331,449 ± 41,959 Wilks Points. Observation method and diagnostic survey were used to collect the data. During the course of the multidimensional statistical analysis, Hellwig’s algorithm, multiple regression, and discriminant analysis were utilised. The distances between stratified subdivisions of athletes were maintained in 99%. The classification matrix of young po
werlifting contestants indicates that all the athletes were grouped adequately. Finally, for junior age category in PL, classification functions assign individuals to specified subgroups statistically better than a priori rule.
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