Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

Sylvia Adu; George Adu; Kwaku Antwi; Joseph Appiah Yeboah

doi:10.17485/IJST/v17i21.1741

Article

Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v17i21.1741

Year: 2024, Volume: 17, Issue: 21, Pages: 2159-2165

Original Article

Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

Sylvia Adu¹, George Adu^2*, Kwaku Antwi³, Joseph Appiah-Yeboah⁴

¹Department of Forest Resources Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
²Department of Interior Design and Materials Technology, Kumasi Technical University, Kumasi, Ghana
³Department of Construction and Wood Technology Education, Akenten Appiah- Menka University of Skills Training and Entrepreneurial Development, Kumasi, Ghana
⁴Department of Technical and Vocational Education, Mampong Technical College of Education, Mampong -Ashanti, Ghana

*Corresponding Author
Email: [email protected]

Received Date:12 July 2023, Accepted Date:25 March 2024, Published Date:21 May 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To determine minimum seat width of comfortable seating for adult population, using multiple linear regression analysis on chair leg thickness, chair leg width, chair apron width, and knee height. Methods: Dimensions of three (3) factors were recorded using 310 adult workers. Multiple linear regression was used for statistical analysis for understanding how multiple factors (like chair leg thickness, chair leg width, chair apron width, and knee height) influence a single outcome to enhance comfortable seating. The collected data (chair leg thickness, chair leg width, chair apron width, and knee height) was analysed with the help of the analysis tool. Findings: The analysis used four predictors (knee height, chair leg thickness, chair leg width, and chair apron width) to obtain one predicted variable (seat width) to achieve comfortable seating based on these measurements. Subsequently, a moderate correlation existed between predictors and predicted variables, while correlations between predictors were less than 0.7 for them to be retained in the model. The coefficient of determination ( ) is 0.3003, indicating that 30.03% of the variance in predictors could be explained by seat width. Based on the comfort assessment and analysis results, required widths that ensure comfortable seating for the target population can be recommended in public institutions. Overall, this research has the potential to improve public health, comfort, and productivity by creating data-driven design standards for seating in public institutions. Novelty: The study focused on elderly workers who patronise this furniture in the administration block of public institutions.

Keywords: Multiple linear regression, Ergonomics, Knee height, Chair component dimensions, Seat width

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Copyright

© 2024 Adu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)