Open AccessAPLIKASI MULTIVARIATE MULTIPLE REGRESSION UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN MASYARAKAT
Author(s) -
Putu Eka Swastini,
I Komang Gde Sukarsa,
I Putu Eka Nila Kencana
Publication year - 2014
Publication title -
e-jurnal matematika
Language(s) - English
Resource type - Journals
ISSN - 2303-1751
DOI - 10.24843/mtk.2014.v03.i03.p071
Subject(s) - multivariate statistics , statistic , econometrics , statistics , multivariate analysis , welfare , index (typography) , variables , regression analysis , affect (linguistics) , linear regression , indonesian , mathematics , psychology , economics , computer science , world wide web , market economy , linguistics , philosophy , communication
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.