Model Regresi Linier Berganda Untuk Menentukan Faktor – Faktor yang Mempengaruhi Indeks Kebahagiaan di Indonesia

Abstract

Happiness is a concept that refers to the positive energy that is felt by individuals and positive activities that do not have a feeling component at all. The Indonesian population has heterogeneous demographic, social and economic conditions, so it is necessary to measure the level of the happiness index so that it becomes a strategic discourse that needs to be realized. The research aimed to determine how the influence of the human development index, life expectancy, and the open unemployment rate of the happiness index in Indonesia. To find out and answer the problem formulation in this research used multiple linear regression method. The data used in this study are data obtained from the statistical central, the variables used in this study are the happiness index as the dependent variable and the open unemployment rate, mean years school, and gini index as the independent variables. Based on the results of the research, it is known that the open unemployment rate and gini index have no significant impact on the happiness index in Indonesia, and mean years school have significant impact on the happiness index in Indonesia. Based on the classical assumption test it can be seen that the regression equation is free from cases of multicollinearity and heteroscedasticity so it can be concluded that the regression equation is still suitable for use in this research.