Authors:

PUTU EKA SWASTINI, I KOMANG GDE SUKARSA, I PUTU EKA N. KENCANA

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.”

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PDF:

https://jurnal.harianregional.com/mtk/full-12000

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://jurnal.harianregional.com/mtk/id-12000. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2014.v03.i03.p071.

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Issue

Vol 3 No 3 (2014)

Section

Articles

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