Analisa Laju Pertumbuhan Ekonomi Penduduk di Kabupaten Nias dengan Menggunakan Metode Analisis Regresi Berganda

Abstract

Poverty is a condition in which basic substances or lack of ability to meet the needs of food, clothing, housing and education are caused by a lack of work and the influence of work participation in meeting these basic needs. This study aims to determine the factors that affect the rate of population economic growth in 2010-2020. The method used in this research is multiple linear regression analysis. Multiple linear regression analysis is used to create an estimating equation that describes the relationship of these variables to the independent variables which will allow to estimate the value of the variable, as well as to determine whether there is a significant effect on the independent variable on the variable. The variable used in this study is the rate of economic growth in Nias Regency, and the independent variables are human development, old expectations, and the district minimum wage. Sources of data used in this study is secondary data, which was obtained from the Central Bureau of Statistics of North Sumatra Province. Based on the results of the analysis, the multiple regression model obtained is: ̂ = 79.414 - 1.351x1 + 1.864x2 + 2.48581293498324x3 and the F-count value from the simultaneous test is 0.077493, which is smaller than the F- table value at significance level 5 % with the calculated Ftable result of 4,347. This means that there is no significant effect between the independent variables, namely the human development index, school year expectations, and minimum wages (x1, x2, and x3) on the dependent variable, namely the number of poor people in Nias Regency (thousands of people) (y) together. on the rate of economic growth in Nias district in 2010-2020.