摘要
以103名(男52人,女51人)来自南方的大学生自愿者为受试,建立了用在塑胶跑道上进行的20-MST预测大学生的Vo2max的线性回归模型:Vo2max(ml·kg^-1·min^-1)=-21.960+5.739×MAS(km·h^-1),r=0.888,P〈0.000,全距10.0~15.0km·h^-1。统计学检验表明该模型满足线性回归模型独立、线性、正态和等方差的四个假设务件,具有良好的适合性。用该模型预测30名大学生自愿者的VO2max,其结果也表明20-MST是预测大学生的VO2max的有效方法。
The study built up the linear regression model forecasting from 20-MST by conducting on synthetic surface track according to 103 university students volunteers' (51 females and 53 males ) data : (ml.kg^-1.min^-1) = -21.960+5.739×MAS(km.h^-1), r =0.888, P 〈 0.000, range 10.0~15.0 km.h^-1. Statistical analysis expressed that the model satisfies the four assumption conditions: independence, linear, normal and homogeneity, has a good suitability. Predicting 30 university students volunteers' using the model reaches such a result that 20-MST is a valid method to predict the uni-versity students'.
出处
《浙江体育科学》
2007年第3期111-113,共3页
Zhejiang Sport Science
关键词
20m逐级往返跑
最大吸氧量
预测
回归模型
the multistage 20 meter shuttle run test
maximal oxygen uptake
predicting
regression model