Perbandingan Metode Regresi Biasa Dengan Geographically Weighted Regression Dalam Memodelkan Data Columbus di Software R 2.6.1

Authors

  • Alia Lestari STAIN Palopo, Indonesia

DOI:

https://doi.org/10.24256/jpmipa.v1i1.53

Keywords:

Perbandingan, Metode Regresi Biasa, Metode GWR Model Data Columbus

Abstract

Metode regresi merupakan metode statistik yang paling umum digunakan. Metode regresi yaitu metode yang menghubungkan variabel respon dengan variabel bebas dengan hasil keluaran (output) utamanya adalah estimasi dari parameter yang membentuk suatu model tertentu. Metode regresi merupakan metode yang memodelkan hubungan antara variabel respon (y) dan variabel bebas (x1, x2, ... , xp). Model regresi linier secara umum dinyatakan dengan . Tulisan ini akan melihat perbandingan metode regresi biasa dengan metode GWR dalam memodelkan data Columbus di Software R 2.6.1 tentang pengaruh income dan housing terhadap crime.

References

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Published

19-08-2018

How to Cite

Lestari, A. (2018). Perbandingan Metode Regresi Biasa Dengan Geographically Weighted Regression Dalam Memodelkan Data Columbus di Software R 2.6.1. Al-Khwarizmi : Jurnal Pendidikan Matematika Dan Ilmu Pengetahuan Alam, 1(1), 33–42. https://doi.org/10.24256/jpmipa.v1i1.53

Issue

Vol. 1 No. 1 (2013): Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam

Section

Articles

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