دانلود مقاله ISI انگلیسی شماره 24464
عنوان فارسی مقاله

# ساخت یک مدل رگرسیون چندگانه برای برآورد نیرو در شنای افساربسته و قدرت در شنای نیمه افسار برای مردان

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
24464 2013 6 صفحه PDF سفارش دهید 2187 کلمه
خرید مقاله
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عنوان انگلیسی
Construction of a Multiple-regression Model for Estimating the Force in Tethered Swimming, and Power in Semi-tethered Swimming for Males ☆
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Engineering, Volume 60, 2013, Pages 275–280

کلمات کلیدی
کلمات کلیدی انگلیسی
Force, Tethered swimming, Power, Semi-tethered swimming, Multiple regression model,نیرو, شنا افسار بسته, برق, شنا نیمه افسار, مدل رگرسیون چندگانه,
پیش نمایش مقاله

#### چکیده انگلیسی

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).

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