This study attempts to test the effect of different social-economic factors on the birth weight of newly born in rural and urban areas of the province Punjab, Pakistan, using Bivariate and multiple linear regression analysis. The present study is based on the date of PHDS (2006-07). The total sample size is 3705. The effect of type of residence, respondent's month of birth, sex of the child, respondent, age at first birth, preceding the interval and succeeding interval, educational level of respondent, and birth order number has been explored for birth weight of newly born children. The type of residence, Respondent's month of birth, Respondent's age at first birth, and birth order number have a significant effect on the birth weight of newly born but the sex of the child, respondents of education level. And succeeding and preceding birth interval have an insignificant effect on birth weight of newly born. It is recommended that Government should take a step to provide better education; more institutions should be open in rural areas, because as people become educated their behavior towards the low birth weight of newly born.
Key words: Birth weight, IGUR, Respondent, Mother, Low birth weight, Generalized linear model, Multicollinearity, Bivariate Analysis.
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