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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Centre for Advanced Research on Energy, Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka
2018
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/65092/1/68-71-1.pdf http://psasir.upm.edu.my/id/eprint/65092/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|