Life expectancy analysis based on multiple linear regression analysis

Abstract

One of the most significant subject matters in contemporary research is life expectancy. The researchers discovered that although the contributing elements of life expectancy have been extensively addressed, there has not yet been any direct connections between them. In order to looking into the relationship between life expectancy and 14 relevant influencing factors as well as the variations in these relationships, this research performed multiple linear regression analysis on the life expectancy data gathered from the website Kaggle. In accordance with the study, several aspects that individuals believed were important but did not in fact affect life expectancy could not be explained by overly specific variables. Researchers can use this finding based on the multiple linear regression method to investigate the similarities and differences between life expectancy and different influencing factors, for the purpose to come up with more effective recommendation to improve the life expectancy and health level of the population.