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基于多元线性回归分析方法的汽车油耗(MPG)预测模型
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Abstract:
多元线性回归是回归分析中应用非常广泛的一种,当今的社会经济现象与人们的日常生活变化大多都受到多个因素的影响,所以在做分析计算开发时一般都要进行多元线性回归。本文利用多元线性回归模型,使用R语言开发实现了一个对汽车MPG预测的模型,该模型应用于统计预测汽车的续航能力,可进一步为客户提供一定的购车参考。
Multiple linear regression is widely used in regression analysis. Today’s socio-economic phenomena and changes in people’s daily life are mostly affected by multiple factors, so it is generally necessary to carry out multiple linear regression when doing analysis, calculation, and development. Using multiple linear regression model, this paper develops and implements a model for automobile MPG prediction. The model is applied to statistically predict the endurance of automobile, which can further provide customers with a certain reference for car purchase.
[1] | 冷建飞, 高旭, 朱嘉平. 多元线性回归统计预测模型的应用[J]. 统计与决策, 2016(7): 82-85.
https://doi.org/10.13546/j.cnki.tjyjc.2016.07.021 |
[2] | 郭娟. 基于存在交互项的多元线性回归汽车油耗预测模型[J]. 广西质量监督导报, 2019(11): 138-140. |
[3] | 徐宗煌. 基于多元线性回归分析的汽油辛烷值损失预测建模[J/OL]. 宁夏大学学报(自然科学版), 2022: 1-8.
http://kns.cnki.net/kcms/detail/64.1006.N.20220124.1703.030.html, 2022-03-30. |
[4] | Roundy, P.E. and Frank, W.M. (2004) Applications of a Multiple Linear Regression Model to the Analysis of Relationships between Eastward-and Westward-Moving Intraseasonal Modes. Journal of the Atmospheric Sciences, 61, 3041-3048. https://doi.org/10.1175/JAS-3349.1 |
[5] | Maulud, D. and Abdulazeez, A.M. (2020) A Review on Linear Regression Comprehensive in Machine Learning. Journal of Applied Science and Technology Trends, 1, 140-147. https://doi.org/10.38094/jastt1457 |