Exploring the Quantitative Relationship of Physical Activity on Group Health Benefits Based on Regression Analysis Models

Abstract

This study takes 1,000 college students in a university as the research object, and explores the quantitative relationship of physical exercise on group health benefits based on multiple linear regression model and Spearman correlation analysis. By setting health literacy as the dependent variable, exercise space, behavior, equipment and individual willingness as independent variables, and combining descriptive statistics and demographic difference analysis, the study systematically analyzed the mechanism of the influence of different exercise dimensions on health benefits. Regular exercise behavior had the strongest correlation with health literacy (r = 0.419, P = 0.000), followed by individual willingness (r = 0.396, p = 0.000), while exercise space (r = 0.178, p = 0.009) and equipment (r = 0.233, p = 0.002) were supporting factors. Multiple regression analysis showed that restricted exercise space, irregular exercise and no exercise equipment significantly reduced the probability of high health literacy, while the probability of high health literacy was much higher in the voluntary exercise group than in the unwilling group (p < 0.001).