Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia
Increased volumes of solid waste generation continue unabated due mainly to rapid population increase, urban migration, economic enhancements, and modern lifestyles. Two significant factors contributing directly to the higher volumes of solid waste generation are population and gross domestic produc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/18753/ http://journalarticle.ukm.my/18753/1/06.pdf |
| _version_ | 1848814657777696768 |
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| author | Faridah Zulkipli, Zulkifli Mohd Nopiah, Noor Ezlin Ahmad Basri, Cheng, Jack Kie |
| author_facet | Faridah Zulkipli, Zulkifli Mohd Nopiah, Noor Ezlin Ahmad Basri, Cheng, Jack Kie |
| author_sort | Faridah Zulkipli, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Increased volumes of solid waste generation continue unabated due mainly to rapid population increase, urban migration, economic enhancements, and modern lifestyles. Two significant factors contributing directly to the higher volumes of solid waste generation are population and gross domestic product (GDP). In Phase 1 of this study, a correlation analysis with a Pearson coefficient of more than 93% (r > 0.93) shows a strong positive linear relationship between the amount of solid waste generation and population and GDP. Phase 2 provides a multilinear regression analysis and the development of a regression model. They indicate that a 1-unit increment in the amount of solid waste generation is caused by 0.06 of the population and 0.119 of GDP while ßo remains constant at 124.449. Therefore, the multilinear regression model in this study can be applied by solid waste management authorities in Malaysia to accurately forecast future solid waste generation volumes. However, further investigation on other significance factors are suggested for future work in order to develop a holistic model for solid waste management in Malaysia. |
| first_indexed | 2025-11-15T00:37:34Z |
| format | Article |
| id | oai:generic.eprints.org:18753 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:37:34Z |
| publishDate | 2021 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:187532022-06-10T00:46:30Z http://journalarticle.ukm.my/18753/ Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia Faridah Zulkipli, Zulkifli Mohd Nopiah, Noor Ezlin Ahmad Basri, Cheng, Jack Kie Increased volumes of solid waste generation continue unabated due mainly to rapid population increase, urban migration, economic enhancements, and modern lifestyles. Two significant factors contributing directly to the higher volumes of solid waste generation are population and gross domestic product (GDP). In Phase 1 of this study, a correlation analysis with a Pearson coefficient of more than 93% (r > 0.93) shows a strong positive linear relationship between the amount of solid waste generation and population and GDP. Phase 2 provides a multilinear regression analysis and the development of a regression model. They indicate that a 1-unit increment in the amount of solid waste generation is caused by 0.06 of the population and 0.119 of GDP while ßo remains constant at 124.449. Therefore, the multilinear regression model in this study can be applied by solid waste management authorities in Malaysia to accurately forecast future solid waste generation volumes. However, further investigation on other significance factors are suggested for future work in order to develop a holistic model for solid waste management in Malaysia. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18753/1/06.pdf Faridah Zulkipli, and Zulkifli Mohd Nopiah, and Noor Ezlin Ahmad Basri, and Cheng, Jack Kie (2021) Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia. Jurnal Kejuruteraan, 33 (3). pp. 439-445. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-333-2021/ |
| spellingShingle | Faridah Zulkipli, Zulkifli Mohd Nopiah, Noor Ezlin Ahmad Basri, Cheng, Jack Kie Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title | Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title_full | Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title_fullStr | Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title_full_unstemmed | Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title_short | Correlation analysis and multilinear regression model for prediction on solid waste generation in Malaysia |
| title_sort | correlation analysis and multilinear regression model for prediction on solid waste generation in malaysia |
| url | http://journalarticle.ukm.my/18753/ http://journalarticle.ukm.my/18753/ http://journalarticle.ukm.my/18753/1/06.pdf |