Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda.
This study focused on application of multiple regression in modeling vegetable oil prices. Five vegetable oil prices, namely CPO, SBO, CNO, PKO, and RSO have been analysed using monthly oil price data from year 2000. We found that multiple linear regression gave the $R^2$ value of 0.887, meaning 88....
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| Format: | Article |
| Language: | English |
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Department of Mathematics, Faculty of Science
2003
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| Online Access: | http://eprints.utm.my/8808/ http://eprints.utm.my/8808/1/ZuhaimyIsmail2003_PemodelanHargaMinyakSayuranMenggunakan.pdf |
| _version_ | 1848891770917617664 |
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| author | Khamis, Azme Ismail, Zuhaimy Shabri, Ani |
| author_facet | Khamis, Azme Ismail, Zuhaimy Shabri, Ani |
| author_sort | Khamis, Azme |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This study focused on application of multiple regression in modeling vegetable oil prices. Five vegetable oil prices, namely CPO, SBO, CNO, PKO, and RSO have been analysed using monthly oil price data from year 2000. We found that multiple linear regression gave the $R^2$ value of 0.887, meaning 88.7\% of variance in CPO price could be explained by RSO, PKO, and CNO. The $t$-test showed that the parameter estimates is significant at one percent level. This study concluded that multicollinearity and autocorrelation were detected inmuliple linear regression and are needed to be considered in further research. |
| first_indexed | 2025-11-15T21:03:15Z |
| format | Article |
| id | utm-8808 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:03:15Z |
| publishDate | 2003 |
| publisher | Department of Mathematics, Faculty of Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-88082010-08-13T01:57:16Z http://eprints.utm.my/8808/ Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. Khamis, Azme Ismail, Zuhaimy Shabri, Ani Q Science (General) QA Mathematics This study focused on application of multiple regression in modeling vegetable oil prices. Five vegetable oil prices, namely CPO, SBO, CNO, PKO, and RSO have been analysed using monthly oil price data from year 2000. We found that multiple linear regression gave the $R^2$ value of 0.887, meaning 88.7\% of variance in CPO price could be explained by RSO, PKO, and CNO. The $t$-test showed that the parameter estimates is significant at one percent level. This study concluded that multicollinearity and autocorrelation were detected inmuliple linear regression and are needed to be considered in further research. Department of Mathematics, Faculty of Science 2003-06 Article PeerReviewed application/pdf en http://eprints.utm.my/8808/1/ZuhaimyIsmail2003_PemodelanHargaMinyakSayuranMenggunakan.pdf Khamis, Azme and Ismail, Zuhaimy and Shabri, Ani (2003) Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. Matematika, 19 (1). pp. 59-70. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/79/31/ |
| spellingShingle | Q Science (General) QA Mathematics Khamis, Azme Ismail, Zuhaimy Shabri, Ani Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title | Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title_full | Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title_fullStr | Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title_full_unstemmed | Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title_short | Pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| title_sort | pemodelan harga minyak sayuran menggunakan analisis regresi linear berganda. |
| topic | Q Science (General) QA Mathematics |
| url | http://eprints.utm.my/8808/ http://eprints.utm.my/8808/ http://eprints.utm.my/8808/1/ZuhaimyIsmail2003_PemodelanHargaMinyakSayuranMenggunakan.pdf |