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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Main Authors: Mohd Hazhar, Muhammad Hazwan, Dzul Dzailani, Dzul Dzaihan, Hairulanuar, Nuralya Sofea, Anizan, Nurfatihah, Yusoff, Sarah
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perak 2024
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Online Access: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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Institution: Universiti Teknologi Mara
Language: English
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spelling 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
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic QA Mathematics
Electronic Computers. Computer Science
spellingShingle 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.]
description 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.
format 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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