This paper studies the changing trend of population life expectancy and the impact of various influencing factors on life expectancy, and collects 8 influencing factor data from some provinces and cities in different locations across the country, and performs factor analysis on the 8 factors to determine their total Linear, classify the indicators with strong correlation into one category, make them a common factor, and name them. Then establish a multiple linear regression model of common factors and life expectancy; and use SPSS to fit the model to evaluate the accuracy of the built model. Finally, the gray prediction model is used to obtain the predicted value of 8 variables, and then the predicted value of the common factor is obtained, which is substituted into the regression equation to obtain the predicted life expectancy of the future population.

Yufeng Wu, Ruobing Zhang. Analysis of Population Life Span Based on Grey Prediction. Frontiers in Medical Science Research (2021) Vol. 3 Issue 6: 21-26. https://doi.org/10.25236/FMSR.2021.030605.

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