Citation
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).
Abstract
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.
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Additional Metadata
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Divisions: |
Faculty of Engineering |
| Publisher: |
Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka |
| Keywords: |
Kenaf reinforced polypropylene composite; Stepwise regression |
| Depositing User: |
Nabilah Mustapa
|
| Date Deposited: |
03 Sep 2018 04:54 |
| Last Modified: |
03 Sep 2018 04:54 |
| URI: |
http://psasir.upm.edu.my/id/eprint/65092 |
| Statistic Details: |
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