Abstract
Today, cardiovascular disease is among the leading causes of mortality. On average, someone dies of cardiovascular disease every 36.1 seconds in the United States. According to 2019 statistics, 2,396 people die from cardiovascular disease per day. Analysis of the influencing variables of heart disease mortality can effectively advise people's living habits, prevent the occurrence of heart disease, and lower the risk of disease. This paper analysis the risk factors for heart attack at the county level in the United States. Influencing factors included adult obesity rate, adult smoking rate, diabetes rate, low birthweight rate, excessive drinking rate and physical inactivity rate. Through data pre-processing, descriptive statistical analysis, data visualization and linear regression analysis, a simple linear regression equation between physical inactivity rate and heart disease mortality was finally obtained. It has a slope of 0.7266, an intercept of 0.0767, and the R-squared of linear regression model is 0.539. It is confirmed that physical inactivity rate and heart disease mortality have a strong positive linear relationship.
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