International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 6, Part A

Modelling the effect of age, previous birth and hemoglobin level of mothers on birth weights


Author(s): Obaji Ifeoma and Nwagor Peters

Abstract: The study was aimed at using multiple regression technique to analyze the relationship between Birth Weight and mother’s age, previous birth & hemoglobin level of mothers in Imo State; a case study of Aboh Mbaise General Hospital. The analysis showed that there is no multicollinearity, autocorrelation which agrees with the assumptions of multiple linear regression. The analysis shows that heteroscedasticity exists in the data. The error term followed a normal distribution using Kolmogorov-Smirnov. The analysis showed there is significant relationship between birth weight and previous number of births, age of mothers & the hemoglobin level of mothers. Further analysis based on the individual test shows that age of mothers contributes positively to birth weight, while previous number of births and hemoglobin level of mothers do not contribute to birth weight. The R2 is 52.6% which entails that 52.6% variation in the value of birth weight is explained by a change in independent variables. The study concluded that age of mothers is a predictor of weight of babies, and recommended among others that similar work be carried out using other mothers’ characteristics such as weight, state of health and hereditary factors.

Pages: 75-82 | Views: 150 | Downloads: 5

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How to cite this article:
Obaji Ifeoma, Nwagor Peters. Modelling the effect of age, previous birth and hemoglobin level of mothers on birth weights. Int J Stat Appl Math 2021;6(6):75-82.
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