Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.]
The rapidly evolving market for smart gadgets causes smartphone prices to vary widely, frequently posing challenges to what consumers expect and can afford. Therefore, understanding the complex interrelationship of factors that determine smartphone prices has emerged as an important subject for stud...
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Universiti Teknologi MARA, Perak
2024
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my.uitm.ir.986952024-07-19T03:40:11Z https://ir.uitm.edu.my/id/eprint/98695/ Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] msij Mohd Hazhar, Muhammad Hazwan Dzul Dzailani, Dzul Dzaihan Hairulanuar, Nuralya Sofea Anizan, Nurfatihah Yusoff, Sarah QA Mathematics Electronic Computers. Computer Science The rapidly evolving market for smart gadgets causes smartphone prices to vary widely, frequently posing challenges to what consumers expect and can afford. Therefore, understanding the complex interrelationship of factors that determine smartphone prices has emerged as an important subject for study in an era defined by technological developments. This study seeks to identify the factors that influence the pricing of smartphones. The study focused on various factors, including the battery capacity, camera quality, screen size, charging speed, device weight, and age in months. The primary data for the research came from the Global System for Mobile Communication (GSM) online marketplace, comprising sixty smartphones selected through a simple random sampling technique. We initially developed a multiple linear regression model with SPSS and then refined it using backward elimination. The results highlight the strong influence of several characteristics on smartphone pricing, namely battery capacity, charging speed, weight, and model age. Interestingly, the examination of six variables revealed that camera and screen size had no effect on price. The knowledge acquired from this quantitative analysis not only advances our comprehension of the interplay between technology and consumer demand but also has implications for manufacturers, policymakers, and consumers who desire to navigate the ever-changing sphere of smartphone pricing. Universiti Teknologi MARA, Perak 2024-05 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/98695/1/98695.pdf Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.]. (2024) Mathematical Sciences and Informatics Journal (MIJ) <https://ir.uitm.edu.my/view/publication/Mathematical_Sciences_and_Informatics_Journal_=28MIJ=29/>, 5 (1). pp. 72-82. ISSN 2735-0703 https://mijuitm.com.my/volume-5-issue-1/ 10.24191/mij.v5i1.1358 10.24191/mij.v5i1.1358 10.24191/mij.v5i1.1358 |
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QA Mathematics Electronic Computers. Computer Science Mohd Hazhar, Muhammad Hazwan Dzul Dzailani, Dzul Dzaihan Hairulanuar, Nuralya Sofea Anizan, Nurfatihah Yusoff, Sarah Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
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The rapidly evolving market for smart gadgets causes smartphone prices to vary widely, frequently posing challenges to what consumers expect and can afford. Therefore, understanding the complex interrelationship of factors that determine smartphone prices has emerged as an important subject for study in an era defined by technological developments. This study seeks to identify the factors that influence the pricing of smartphones. The study focused on various factors, including the battery capacity, camera quality, screen size, charging speed, device weight, and age in months. The primary data for the research came from the Global System for Mobile Communication (GSM) online marketplace, comprising sixty smartphones selected through a simple random sampling technique. We initially developed a multiple linear regression model with SPSS and then refined it using backward elimination. The results highlight the strong influence of several characteristics on smartphone pricing, namely battery capacity, charging speed, weight, and model age. Interestingly, the examination of six variables revealed that camera and screen size had no effect on price. The knowledge acquired from this quantitative analysis not only advances our comprehension of the interplay between technology and consumer demand but also has implications for manufacturers, policymakers, and consumers who desire to navigate the ever-changing sphere of smartphone pricing. |
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Article |
author |
Mohd Hazhar, Muhammad Hazwan Dzul Dzailani, Dzul Dzaihan Hairulanuar, Nuralya Sofea Anizan, Nurfatihah Yusoff, Sarah |
author_facet |
Mohd Hazhar, Muhammad Hazwan Dzul Dzailani, Dzul Dzaihan Hairulanuar, Nuralya Sofea Anizan, Nurfatihah Yusoff, Sarah |
author_sort |
Mohd Hazhar, Muhammad Hazwan |
title |
Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
title_short |
Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
title_full |
Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
title_fullStr |
Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
title_full_unstemmed |
Determinants of smartphone prices using backward elimination technique in multiple linear regression/ Muhammad Hazwan Mohd Hazhar ... [et al.] |
title_sort |
determinants of smartphone prices using backward elimination technique in multiple linear regression/ muhammad hazwan mohd hazhar ... [et al.] |
publisher |
Universiti Teknologi MARA, Perak |
publishDate |
2024 |
url |
https://ir.uitm.edu.my/id/eprint/98695/1/98695.pdf https://ir.uitm.edu.my/id/eprint/98695/ https://mijuitm.com.my/volume-5-issue-1/ |
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1806422117098455040 |