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Research on College Students' Physical Health

机译:大学生身体健康研究

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摘要

Use the distinguish analysis of multivariate statistical analysis to set up classification model of college boys and girls physical health comprehensive evaluation. From the result which is got from prediction sample's inspection on model, we can see, model discrimination's overall positive rate and predict positive rate are all above 90%, it indicates that this established discriminate model is effective. Furthermore it is proved by the practical application of sample recovery, sample which is calculated buy models is consist with its actual category. This shows model's actual discrimination ability is an ideal, it has actual meaning to evaluate college student's physical health level. Based on the college students' physical health construct comprehensive evaluation classification model, students six indexe3d will be led into the model, so students' current physical health will be known. Teachers can practice group teaching according to the student's individual differences. They adopt multiple evaluation system to determine its athletic intensify with target to have a pertinent guidelines and improve students physical health level continuously. Meanwhile, teachers can predict their health development trend and make some corresponding exercise prescription according to the students' constitution in two types of intersection area.
机译:运用多元统计分析的判别分析方法,建立大学生男孩和女孩身体健康综合评价的分类模型。从预测样本对模型的检验结果可以看出,模型判别的总体阳性率和预测阳性率均在90%以上,表明该判别模型是有效的。此外,通过样本回收的实际应用证明了,以购买模型计算的样本与其实际类别相符。这说明模型的实际辨别能力是一个理想的选择,对评估大学生的身体健康水平具有实际意义。基于大学生身体健康状况构建的综合评价分类模型,将学生六个指标引入模型,从而了解大学生当前的身体健康状况。教师可以根据学生的个人差异进行小组教学。他们采用多种评估系统来确定其运动强度与目标是否有相关的指导方针,并不断提高学生的身体健康水平。同时,教师可以根据学生的体质在两种交叉口类型中预测自己的健康发展趋势并制定相应的运动处方。

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