Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Prosiding Seminar Nasional Matematika dan Pendidikan Matematika
Sa’adah, Umu
Prodi Pendidikan Matematika UIN Raden Intan Lampung
Education Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Cochrane-Orcutt Iterative Procedure untuk Mengatasi Pelanggaran Asumsi Non Autokorelasi pada Analisis Regresi Linier Berganda Menggunakan Software R Sa’adah, Umu
Prosiding Seminar Nasional Matematika dan Pendidikan Matematika Vol 1, No 2 (2018): Prosiding Seminar Nasional Matematika dan Pendidikan Matematika 2018
Publisher : Prodi Pendidikan Matematika UIN Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Multiple linear regression analysis is often used to determine the relationship between one dependent variable with two or more independent variables. Both the dependent variable and the independent variable are numerical. If the classical assumptions on multiple linear regression models are met then the parameter estimator will be Best Linear Unbiased Estimation (BLUE). These assumptions are the normality of error, non autocorrelation, non-multicolinearity and homoskedasticity. In real data is often encountered violation of assumptions, one of which assumption non autokorelasi not fulfilled. In this research discussed about the handling of autocorrelation on multiple linear regression model using Cochrane-Orcutt Iterative Procedure and software R. Data used is data of Regency/City in East Java 2015 sourced Statistics Indonesia.
Co-Authors