Analysis of National Traditional Sports Physical Fitness and Health Test Data Based on Multivariate Statistics

Based on the research on the physical fitness and health of college students, using methods such as system clustering, one-way ANOVA, and discriminant analysis, models for BMI grading, cluster analysis, ANOVA, and comprehensive evaluation of physical fitness and health were established. Software programs such as MATLAB, Eviews, and SPSS were used to analyze the impact of weight and student origin on physical fitness and health issues, verify the accuracy of the test data, and eliminate some erroneous data; finally, an evaluation standard for the physical health of college students was obtained, and this standard was used to evaluate the institutional health status of some of the college students. The experimental results indicate that, in the sample with a population of 29, there are 4 individuals with excellent physical fitness, accounting for 13.79%, 12 individuals with good physical fitness, accounting for 41.38%, 7 individuals with qualified physical fitness, accounting for 24.14%, and 6 individuals with failed physical fitness, accounting for 20.69%. The results obtained during our overall analysis are roughly similar and proved the feasibility of multivariate statistical analysis of national traditional sports physical fitness and health test data.