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Aplikasi Multivariate Multiple Regression untuk Menduga Faktor-faktor yang Memengaruhi Kesejahtraan Masyarakat

Ir. I Putu Eka Nila Kencana, MT, I Putu Eka Nila Kencana (2014) Aplikasi Multivariate Multiple Regression untuk Menduga Faktor-faktor yang Memengaruhi Kesejahtraan Masyarakat. E-JURNAL MATEMATIKA - Jurusan Matematika, Fakultas MIPA Universitas Udayana, 3 (3). ISSN 2303-1751

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Abstract

This essay aimed to apply the Multivariate Multiple Regression (MMR) method for 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 egional Domestic Product (PDRB), and Regional Crime Index (IKD). In modeling the relationship between q responses (Y1, …, Yq) and a single set of predictor variables (X1, …, Xp). 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.

Item Type: Article
Uncontrolled Keywords: GLM, multivariate, regression, welfare
Subjects: L Education > L Education (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Education
Depositing User: Mr. Repository Admin
Date Deposited: 07 Jun 2016 21:58
Last Modified: 21 Jun 2016 05:58
URI: http://erepo.unud.ac.id/id/eprint/7765

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