Investigating Human Expectancy by Linear Regression
DOI:
https://doi.org/10.62051/4bkv9m17Keywords:
life expectancy, linear regression, status, alcohol, BMI, HIV/AIDS, Schooling.Abstract
In recent years, many people have studied the human lifespan, some people study how to extend the human lifespan, explore the limits of the human lifespan, and so on. But what are the factors that affect human lifespan, and will they lead to an increase or decrease in lifespan? This paper was analyzed by using linear regression, where specific analyses were performed using R- square and multiple R, mainly studies the influence of three factors, BMI, Schooling, and HIV/AIDS, on human life expectancy between developing and developed countries through linear regression methods.
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