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Life Expectancy Factors: Regression Analysis by Sunil Sharma is a document available to read on EtoBox.
What is Life Expectancy Factors: Regression Analysis about?
This study analyzes the determinants of life expectancy using multiple regression analysis across 193 countries from 2000 to 2015, focusing on factors such as adult mortality, schooling, income composition, BMI, and HIV/AIDS prevalence. The findings indicate that all predictors significantly impact life expectancy, with HIV/AIDS and income composition being the most influential. The study highlights the importance of targeted health and education policies to improve life expectancy, while also noting limita
- Author
- Sunil Sharma
- Language
- EN