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  • 标题:Predict the sales of New-energy Vehicle using linear regression analysis
  • 本地全文:下载
  • 作者:Lingxiao Tang ; Jia Sun
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:118
  • 页码:1-6
  • DOI:10.1051/e3sconf/201911802076
  • 出版社:EDP Sciences
  • 摘要:New-energy Vehicle is a new form of vehicle that uses environmental friendly energy and becomes a popularity in recent years. It is important for both the consumers and the producers to search for factors that might affect the sales of New-energy Vehicle. In this study, three linear regression models are examined to determine factors that have significant effect on sales of New-energy Vehicle. ANOVA analysis is conducted to test the model validity and to compare the effect of the three models obtained. Result shows that disposable income, number of charging station, subsidies and literacy level positively affect the sales of New-energy Vehicle.
  • 其他摘要:New-energy Vehicle is a new form of vehicle that uses environmental friendly energy and becomes a popularity in recent years. It is important for both the consumers and the producers to search for factors that might affect the sales of New-energy Vehicle. In this study, three linear regression models are examined to determine factors that have significant effect on sales of New-energy Vehicle. ANOVA analysis is conducted to test the model validity and to compare the effect of the three models obtained. Result shows that disposable income, number of charging station, subsidies and literacy level positively affect the sales of New-energy Vehicle.
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