CD Skripsi

Penerapan Metode Generalized Ridge Regression Untuk Mengatasi Multikolinearitas Dalam Analisis Tingkat Kemiskinan Di Indonesia

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Multiple linear regression analysis is a technique in statistical models that is used to analyze the influence of two or more independent variables on the dependent variable. One of the important assumptions in multiple linear regression analysis is the absence of multicollinearity in the regression model. In this research, the generalized ridge regression method is applied to overcome the problem of multicollinearity in the analysis of factors that influence poverty levels in Indonesia. The data used is secondary data from the Central Statistics Agency (BPS) in 2022, which covers 34 provinces in Indonesia. The results of this research show that the generalized ridge regression method successfully reduce multicollinearity. This is indicated by the Variance Inflation Factor (VIF) values for each independent variable, which are all below 10, and a coefficient of determination (R^2) ......dst (Abstrak tidak bisa ditampilkan semua)

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003125570

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003125570

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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