Abstract

The objective of the research was to increase the accuracy of physical fitness assessment of female students. The methods of the research were as following: theoretical analysis and generalization; fitness testing; linear interpolation method; least squares method; method of graph analysis; correlation and regression analysis. Material. The scales quality was determined by the coefficients of determination and the average approximation errors in percents. These indicators were obtained for the scale parameters ‘result-assessment’ and ‘assessment-assessment’ as well as for the physical fitness assessment of 1st-3rd years students (n=116). Results: it was found that the scales of the four test exercises, in which the scores are calculated by linear regression equations, have sufficient accuracy and on average 0.41±0.30 points or 15.6% higher assess the physical fitness of female students than the scales that are made by the levels of preparedness. Conclusions. The scales in which the scores were set by the linear regression equations were better selected (D = 99.70÷100.00%) and showed high accuracy (a = 0.00~1.01%). In contrast, the scales in which the scores are calculated according to the level of training, at D = 92.92÷94.70 %, In contrast, scales that score by fitness level, with D=92.92-94.70% and Ā=12.29-13.62%, do not accurately determine the physical fitness of female students (Ā=7.74%). It was set that the scales’ accuracy could be measured by multiple regression equations. Physical fitness assessments of female students, which were formed by the equations of multiple regressions, coincided with the assessments of level linear regressions, on which these formulas were obtained, to the third or second decimal place. The multiple regression equation, which is compiled from estimates of fitness levels, gives an average score of 0.60±0.38 less than the linear regression equations.

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