Response of Vital Capacity (VC) to Multiple Repetitions of Performance and its Relation with Some Anthropometric Measurements for a Sample of Practitioners of Sports Activity

Response of Vital Capacity (VC) to Multiple Repetitions of Performance and its Relation with Some Anthropometric Measurements for a Sample of Practitioners of Sports Activity

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The subject of the research focuses on identifying the differences between the three attempts to test the viability of VC and the contribution of age ratios, and some anthropometric measurements in tillman 750m the best bioenergy test.It also aims to adjust a regression model to predict the biological capacitance in relation to age and some anthropometric variables.The researcher hypothesizes that there are no significant differences between the three tests of the vital capacity, and that the coefficients of the regression model for linear regression equation in the biomass test are not different from zero, ie، they are insignificant.The researcher uses the descriptive approach because it suits the nature of the research.

The 24-subject sample has not been randomly selected.The selection crieterai include good health and 22-25 year age range.The test sample includes subjects who are not members of sports clubs us polo assn mens sweaters or sports halls.The subjects of the research sample are tested according to age, mass, and height variables.

The statistical treatments of data applied by the researcher included the mean، standard deviation، torsion
 
coefficient، t-test of two paired samples, pearson correlation coefficient، and multiple linear regression.Having discussed the results، the researcher concludes that in the dynamic capacity variable there is a significant difference between the first test and the second test.While between the second and third tests there is no significant difference.The anthropometric variable of length is uniquely useful in representing the relationship with the biomagnetic variable.

Finally, the value of the biomass test in terms of height can be predicted.

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