PENERAPAN REGRESI KOMPONEN UTAMA ROBUST S-ESTIMATOR UNTUK ANALISIS PENGANGGURAN DI KOTA DUMAI
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Date
2021-02
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Abstract
The least squares method is a method for estimating parameters. This method is not
appropriate for data that contains outliers, therefore, a robust regression regression method
is used. Robust regression is a regression method that is used when there are outliers that
can affect the model. In this study, the robust method used is the S-estimator. This study
applies robust S-estimator regression to data containing outliers. A better model is selected
based on the RSE and ̅ . The model is applied for the study of the number of unemployed in
Dumai City 2006-2019. The independent variables are average length of schooling, net
enrollment rate, school enrollment rate, human development index, population growth rate,
and the poor. Based on the regression equation used, the study show that the factors affecting
the unemployment rate are the average length of schooling and the poor population using the
S-estimate regression method.
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Keywords
Unemployment, quadratic term method, outlier, robust, S-estimator