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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 8, Issue 4, Part E (2022)

An investigation of inter-relationship between selected physiological variables and female cyclist performance

An investigation of inter-relationship between selected physiological variables and female cyclist performance

Author(s)
Neha Baghel and Dr. Pardeep Kumar
Abstract
The presented study was to identify the correlation between female cyclists performance with selected physiological variables. In the study total fifteen female cyclists as subjects were taken all were 40km senior national cycling players from different states of India. Their aged ranging from 18yr to 30yr. The data were assessed through equipments Omron body composition monitor for BMI and fat percentage and dry spirometer to check vital capacity. These data were collected from cycling senior nationals, India. The data collected was analyzed by computing the descriptive statistics and Pearson product moment correlation to find out standard deviation and mean among selected variables of female cyclists. For testing the hypothesis, the degree of significance was set at 0.05. Statistical analysis was conducted by using statistical packages for social science (IBM SPSS 20 Version). As a result the findings states that the value of correlation statistics is significantly correlated in all the selected physiological variables because p-value< 0.05 in all physiological variables BMI, fat percentage and vital capacity, thus the null hypothesis of correlation is failed to accept in all selected variables and it is concluded that the correlation of performance time with BMI and fat percentage is having positively strong relationship and with vital capacity its negatively strong relationship as vital capacity increases the time will decreases which helps to improve the female cyclist performance.
Pages: 351-354  |  317 Views  66 Downloads
How to cite this article:
Neha Baghel, Dr. Pardeep Kumar. An investigation of inter-relationship between selected physiological variables and female cyclist performance. Int J Appl Res 2022;8(4):351-354.
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