Research Article
The Optimizing Spacer Roller Size by Correlation and Regression Analysis
@INPROCEEDINGS{10.4108/eai.17-7-2020.2302972, author={Arvita Emarilis Intani}, title={The Optimizing Spacer Roller Size by Correlation and Regression Analysis}, proceedings={Proceedings of the 1st International Conference on Economics Engineering and Social Science, InCEESS 2020, 17-18 July, Bekasi, Indonesia}, publisher={EAI}, proceedings_a={INCEESS}, year={2021}, month={1}, keywords={linear regression optimizing solution excel and minitab analysis}, doi={10.4108/eai.17-7-2020.2302972} }- Arvita Emarilis Intani
Year: 2021
The Optimizing Spacer Roller Size by Correlation and Regression Analysis
INCEESS
EAI
DOI: 10.4108/eai.17-7-2020.2302972
Abstract
The Spacer is one of part roller machine which the functions to adjustment size of synthetic rubber to obtain suitable size based on standard specifications. The problems are various spacer size to be used mass production which it cause to variation size of rubber and consequences to product result. To analizing problem, there are good chance to apply mathematical solution. Problem solving using correlation and regression analysis enable determining the relationship between the independent factors and the dependent response through defined relationship estimates, optimizing the sizes, regression functions, predicting and simulating result. Despite there are many regression analysis, Linear regression analysis is the most widely used of all statistical technique. The application to analysis the problem with correlation and linear regression calculation in Excel and Minitab.