Analisis Pengaruh Faktor Sosial Ekonomi terhadap Tingkat Kemiskinan di Kota Medan Menggunakan Regresi Linear Berganda

Abstract

Poverty is a phenomenon that has not been and likely will never be eradicated from the face of the Earth. It arises from disparities in abilities, opportunities, and access to resources. One of the root causes of poverty is a significant increase in population. A high population leads to a rapid growth in the labor force. This research is quantitative in nature, aiming to test the hypothesis that population size has a positive effect on poverty. The findings show that every 1% increase in population results in a 49% increase in poverty. The regression coefficient for education is 0.82, indicating a positive relationship with poverty. This suggests that every 1% increase in education corresponds to an 82% increase in poverty. Similarly, the regression coefficient for unemployment is 0.68, suggesting that a 1% increase in unemployment leads to a 68% increase in poverty.