Stepwise regression for kenaf reinforced polypropylene composite
Stepwise regression is an alternative in statistical modelling. This paper discusses the parameters that influence the performance score (PS) of kenaf reinforced polypropylene composite (KRPC). It was found the tensile strength, Young’s modulus and flexural strength are the parameters that influence...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65092/ http://psasir.upm.edu.my/id/eprint/65092/1/68-71-1.pdf |
| _version_ | 1848855189539258368 |
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| author | Muhammad, Noryani Salit, Mohd Sapuan Mohammad Taha, Mastura Mohamed Yusoff, Mohd Zuhri Zainudin, Edi Syams |
| author_facet | Muhammad, Noryani Salit, Mohd Sapuan Mohammad Taha, Mastura Mohamed Yusoff, Mohd Zuhri Zainudin, Edi Syams |
| author_sort | Muhammad, Noryani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Stepwise regression is an alternative in statistical modelling. This paper discusses the parameters that influence the performance score (PS) of kenaf reinforced polypropylene composite (KRPC). It was found the tensile strength, Young’s modulus and flexural strength are the parameters that influence the materials performance of KRPC. The model adequacy checking was done by plotted the normality and regression probability standardized residual. |
| first_indexed | 2025-11-15T11:21:48Z |
| format | Conference or Workshop Item |
| id | upm-65092 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:21:48Z |
| publishDate | 2018 |
| publisher | Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-650922018-09-03T04:54:30Z http://psasir.upm.edu.my/id/eprint/65092/ Stepwise regression for kenaf reinforced polypropylene composite Muhammad, Noryani Salit, Mohd Sapuan Mohammad Taha, Mastura Mohamed Yusoff, Mohd Zuhri Zainudin, Edi Syams Stepwise regression is an alternative in statistical modelling. This paper discusses the parameters that influence the performance score (PS) of kenaf reinforced polypropylene composite (KRPC). It was found the tensile strength, Young’s modulus and flexural strength are the parameters that influence the materials performance of KRPC. The model adequacy checking was done by plotted the normality and regression probability standardized residual. Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65092/1/68-71-1.pdf Muhammad, Noryani and Salit, Mohd Sapuan and Mohammad Taha, Mastura and Mohamed Yusoff, Mohd Zuhri and Zainudin, Edi Syams (2018) Stepwise regression for kenaf reinforced polypropylene composite. In: 5th Mechanical Engineering Research Day (MERD'18), 3 May 2018, Kampus Teknologi UTeM, Melaka. (pp. 48-49). |
| spellingShingle | Muhammad, Noryani Salit, Mohd Sapuan Mohammad Taha, Mastura Mohamed Yusoff, Mohd Zuhri Zainudin, Edi Syams Stepwise regression for kenaf reinforced polypropylene composite |
| title | Stepwise regression for kenaf reinforced polypropylene composite |
| title_full | Stepwise regression for kenaf reinforced polypropylene composite |
| title_fullStr | Stepwise regression for kenaf reinforced polypropylene composite |
| title_full_unstemmed | Stepwise regression for kenaf reinforced polypropylene composite |
| title_short | Stepwise regression for kenaf reinforced polypropylene composite |
| title_sort | stepwise regression for kenaf reinforced polypropylene composite |
| url | http://psasir.upm.edu.my/id/eprint/65092/ http://psasir.upm.edu.my/id/eprint/65092/1/68-71-1.pdf |