Improvement in medical science is regarded as one of major factors that led\nto the constant improvement of living conditions in most of the countries\nwith the result that mortality rate has been declining, thereby resulting in a\nsteady increase of life expectancy which further led to creating higher financial\nresponsibilities for pension and annuity providers. In essence, mortality\nforecasts are essential for predicting the future extent of population ageing,\nand for determining the sustainability of pension schemes and social security\nsystems. The objective of this paper is to fit multiple regression models to\nmeasure how the various predictive variables relate to mortality. We intend to\nselect a statistical model from the model class that best fits the data by choosing\nthe model that has the smallest AIC value. From the analysis of our research,\nwe found that income deprivation is the strongest independent predictor\nof mortality rates in a neighbourhood, though each of the variables is\nstatistically significant at less than 5%.
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