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Construction of a multiple-regression model for estimating the force in tethered swimming, and power in semi-tethered swimming for males

机译:估计束缚游泳力的多元回归模型的构建,以及男性半束缚游泳的动力

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The purposes of this study were to clarify the relationship between the force in tethered swimming (TS) and the power in semi-tethered swimming (STS), and to develop multiple regression models to estimate the force in the TS and the power in the STS using plural physical elements. To perform these purposes, the force in the TS and the power in the STS of 53 elite male high school and junior high school swimmers as subjects were measured. The force in the TS was measured by an electrical digital force gauge. The power in the STS was measured by the ergometer attachment improved a bicycle ergometer. Furthermore, height(163.2 cm in average), weight (51.6 kg), finger reach span (168.4 cm), foot length (26.1 cm), vertical jump (43.0 cm) and its power of each subject was measured. The results of this study were summarized as follows; 1) The relationships between the force in the TS (X) and the power in the STS (Y) was Y=0.182X+16.35 (r=0.814). This relationship was highly significant statistically (p<0.001).2) 49 of the multiple regression models to estimate the force in the TS were derived. The highest correlation coefficient model in theses was as follows; TS=0.16×weight + 0.75×age + 0.03×finger reach span + 1.10×foot length + 0.22×vertical jump-41.68 (r=0.787). 3) 59 of the multiple regression models to estimate the power in the STS were derived. The highest correlation coefficient model in these was as follows; STS=0.03×height + 0.45×weight + 2.26×age + 0.41×finger reach span + 0.27×vertical jump + 0.01×vertical jump power-88.56 (r=0.866).
机译:本研究的目的是阐明束缚游泳(TS)中的力与半束缚游泳(STS)之间的关系,并开发多元回归模型来估计TS中的力和STS中的电力使用多个物理元素。为了履行这些目的,测量了TS和53个精英男高中和初中游泳运动员STS中的力量。通过电气数字力量计测量TS中的力。测量STS中的功率通过测力计附件改进了自行车测力计。此外,高度(平均163.2厘米),重量(51.6千克),手指达跨度(168.4cm),脚长(26.1cm),垂直跳跃(43.0cm)及其每个受试者的功率。本研究的结果总结如下; 1)TS(x)中的力与STS(y)中的功率之间的关系是y = 0.182×+ 16.35(r = 0.814)。这种关系具有高度显着的统计(P <0.001).2)49,以估计TS中的力量的力量。论文中的最高相关系数模型如下; TS = 0.16×重量+ 0.75×年龄+ 0.03×手指达到频率+ 1.10×足部长度+ 0.22×垂直跳转-41.68(r = 0.787)。 3)估计STS中的功率的多元回归模型的59。这些中的最高相关系数模型如下; STS = 0.03×高度+ 0.45×重量+ 2.26×AGE + 0.41×手指达到频率+ 0.27×垂直跳转+ 0.01×垂直跳跃功率-88.56(r = 0.866)。

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