Spatial regression model of poverty in the province of North Sumatera on 2017

Abstract

The research is done to determine the model of poverty in the Province of North Sumatera with spatial regression, to analyze the factors that affect it and to definite the effective spatial regression in analyzing it. Spatial regression used is Spatial Autoregressive Model (SAR). The data used is secondary data from Statistics Indonesia of Province of North Sumatra. The result shows that predictor variables which affect the response variable are The Index of Human Development (X 3) and The Percentage of Population Destiny (X 4). The value of (R 2) is 72,78%.