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Korea has focused its efforts on reducing fine dust particles in Seoul over the past day, with the focus on improving the quality of fine dust products, such as a complete reduction in public transportation, closing down power plants, and exchanging fine dust with China. Despite these efforts, however, the nation's fine dust concentration has not significantly decreased, leaving people feeling uneasy and dissatisfied. Therefore, this paper utilizes a multiple regression analysis conducted by using R, a tool for analyzing big data, to identify variables that affect the level of public transport satisfaction, and to analyze multiple regression analysis at each level.
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