APLIKASI MULTIVARIATE MULTIPLE REGRESSION UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN MASYARAKAT

• PUTU EKA SWASTINI Faculty of Mathematics and Natural Sciences, Udayana University
• I KOMANG GDE SUKARSA Faculty of Mathematics and Natural Sciences, Udayana University
• I PUTU EKA N. KENCANA Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

This essay aimed to apply the Multivariate Multiple Regression (MMR) methodfor the welfare issue. The predictor variables in the model are 18 indicators of welfare according to Indonesian Central Bureau of Statistic (BPS) and  the response variables are Human Development Index (IPM), Gross Regional Domestic Product (PDRB), and Regional Crime Index (IKD). In modeling the relationship between q responses and a single set of predictor variables , MMR assumed each pairs of two response variables were correlated and its distribution follows normal multivariate. Based on the result of MMR, we obtained six out of 18 predictor variables simultaneously affect IPM and  PDRB. The final model showed the association between those variables very closed to 100 percent.

Author Biographies

PUTU EKA SWASTINI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
I KOMANG GDE SUKARSA, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
I PUTU EKA N. KENCANA, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Published
2014-08-28
How to Cite
SWASTINI, PUTU EKA; SUKARSA, I KOMANG GDE; N. KENCANA, I PUTU EKA. APLIKASI MULTIVARIATE MULTIPLE REGRESSION UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN MASYARAKAT. E-Jurnal Matematika, [S.l.], v. 3, n. 3, p. 100 - 106, aug. 2014. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/12000>. Date accessed: 17 sep. 2024. doi: https://doi.org/10.24843/MTK.2014.v03.i03.p071.
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Keywords

GLM; multivariate; regression; welfare