E3S Web Conf.
Volume 118, 20192019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|Number of page(s)||6|
|Section||Energy Equipment and Application|
|Published online||04 October 2019|
Predict the sales of New-energy Vehicle using linear regression analysis
Chongqing Nankai Secondary School ; No.1, Sha Nan St., Chongqing Prov., China;
2 Johns Hopkins University ; 3528 Agate Dr, Apt 4, Santa Clara, CA 95051;
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.