ABSTRACT
Multiple regression analysis is one of the widely used multivariate statistical techniques employed in medical, health, and other applied research and studies for determining the correlation between a response variable and some combination of two or more predictor variables. The objective of our investigation in this paper is to evaluate the association of some risk factors with mortality (death) among patients during Covid-19. A multiple linear regression model is developed to analyze the impact of the body mass index, death rate, life expectancy and population on mortality (death) among patients affected during Covid-19 based on a sample data of some developing countries. It is observed that in the presence of the life expectancy and population, the body mass index and the death rate were good predictors of the mortality (death).
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