Subset Best Method Regression Analysis with Cp Mallows Statistics on Factors Affecting Life Expectancy
One method used in the multiple linear regression model is the best subset using Cp Mallows statistics. The best subset begins by combining independent variables to describe the dependent variable. Select a combination with a high coefficient of determination and a low Cp value. The purpose of thi...
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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English English English |
| Published: |
Humanistic Network for Science and Technology
2022
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| Subjects: | |
| Online Access: | https://repository.unair.ac.id/125003/1/C135_Artikel.pdf https://repository.unair.ac.id/125003/2/C135_Turnitin.pdf https://repository.unair.ac.id/125003/3/C135_Validasi.pdf https://repository.unair.ac.id/125003/ https://heanoti.com/index.php/hn/article/view/858 http://dx.doi.org/10.33846/hn60306 |
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| Institution: | Universitas Airlangga |
| Language: | English English English |
| Summary: | One method used in the multiple linear regression model is the best subset using Cp Mallows statistics. The best
subset begins by combining independent variables to describe the dependent variable. Select a combination with
a high coefficient of determination and a low Cp value. The purpose of this study was to apply the best
subset method of Cp Mallows statistics to obtain multiple linear regression models of factors that affect life
expectancy. This survey was a secondary data survey using data from Health Profiles published in 2016 in
East Java. Data from 38 cities with dependent variables were life expectancy and independent variables such as
diarrhea prevalence, dengue prevalence, healthy homes, clean and healthy living behavior, and average school
hours. The results showed that the coefficient of determination was 69.7% and the Cp value was 3.9 for the three
combinations of diarrhea prevalence, healthy family, and average school hours. |
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