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Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?

We analyze wholesale datasets from Indonesian Automobile Industry Data for electric cars in Indonesia using statistical analysis to predict the electric cars used in the future. We apply a linear regression approach that adjusts the regression model according to wholesale electric cars between 2020...

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Main Authors: Rosyid Ridlo, Al Hakim, Nur F., Soelaiman, Sri, Riani, Yanuar Zulardiansyah, Arief
Other Authors: Hasmat, Malik
Format: Book Chapter
Language:English
Published: Springer Nature Singapore Pte Ltd 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/44383/1/Using%20Linear.pdf
http://ir.unimas.my/id/eprint/44383/
https://link.springer.com/chapter/10.1007/978-981-99-6749-0_34
https://doi.org/10.1007/978-981-99-6749-0_34
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spelling my.unimas.ir.443832024-02-20T03:53:07Z http://ir.unimas.my/id/eprint/44383/ Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model? Rosyid Ridlo, Al Hakim Nur F., Soelaiman Sri, Riani Yanuar Zulardiansyah, Arief TK Electrical engineering. Electronics Nuclear engineering We analyze wholesale datasets from Indonesian Automobile Industry Data for electric cars in Indonesia using statistical analysis to predict the electric cars used in the future. We apply a linear regression approach that adjusts the regression model according to wholesale electric cars between 2020 and 2022, as well as a statistical correlation test and the Wilcoxon test to support the regression result. We find a strong positive relationship for electric cars bought in the future, with a not significantly different population median of the total number of wholesale electric cars. It might be 210 cars estimated per year. Among the regression models, it is more effective for policymakers, as well as car industries. We estimate that there are various reasons and conditions for Indonesian people to buy electric cars inside conventional ones. Springer Nature Singapore Pte Ltd Hasmat, Malik Sukumar, Mishra Y. R., Sood Atif, Iqbal Taha Selim, Ustun 2024-01-03 Book Chapter PeerReviewed text en http://ir.unimas.my/id/eprint/44383/1/Using%20Linear.pdf Rosyid Ridlo, Al Hakim and Nur F., Soelaiman and Sri, Riani and Yanuar Zulardiansyah, Arief (2024) Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model? In: Renewable Power for Sustainable Growth : Proceedings of ICRP 2023. Lecture Notes in Electrical Engineering, 1086 . Springer Nature Singapore Pte Ltd, pp. 513-519. ISBN 978-981-99-6749-0 https://link.springer.com/chapter/10.1007/978-981-99-6749-0_34 https://doi.org/10.1007/978-981-99-6749-0_34
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rosyid Ridlo, Al Hakim
Nur F., Soelaiman
Sri, Riani
Yanuar Zulardiansyah, Arief
Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
description We analyze wholesale datasets from Indonesian Automobile Industry Data for electric cars in Indonesia using statistical analysis to predict the electric cars used in the future. We apply a linear regression approach that adjusts the regression model according to wholesale electric cars between 2020 and 2022, as well as a statistical correlation test and the Wilcoxon test to support the regression result. We find a strong positive relationship for electric cars bought in the future, with a not significantly different population median of the total number of wholesale electric cars. It might be 210 cars estimated per year. Among the regression models, it is more effective for policymakers, as well as car industries. We estimate that there are various reasons and conditions for Indonesian people to buy electric cars inside conventional ones.
author2 Hasmat, Malik
author_facet Hasmat, Malik
Rosyid Ridlo, Al Hakim
Nur F., Soelaiman
Sri, Riani
Yanuar Zulardiansyah, Arief
format Book Chapter
author Rosyid Ridlo, Al Hakim
Nur F., Soelaiman
Sri, Riani
Yanuar Zulardiansyah, Arief
author_sort Rosyid Ridlo, Al Hakim
title Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
title_short Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
title_full Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
title_fullStr Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
title_full_unstemmed Using Linear Regression Model to Predict the Wholesale of the Electric Car in Indonesia: What Can Be Learned from the Model?
title_sort using linear regression model to predict the wholesale of the electric car in indonesia: what can be learned from the model?
publisher Springer Nature Singapore Pte Ltd
publishDate 2024
url http://ir.unimas.my/id/eprint/44383/1/Using%20Linear.pdf
http://ir.unimas.my/id/eprint/44383/
https://link.springer.com/chapter/10.1007/978-981-99-6749-0_34
https://doi.org/10.1007/978-981-99-6749-0_34
_version_ 1792160719271100416
score 13.211869

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