二手车价格影响因素分析及预测研究
首发时间:2023-03-09
摘要:随着消费者需求的增长和技术创新的发展,二手车交易市场具有良好的成长潜力,二手车价格的预测对于提高交易市场效率、促进市场健康发展和提升科技水平具有重要的意义。但是目前整个评估行业内仍然采用的是人工评估为主的估价方法,评估成本较高、效率较低、评估结果具有较强的主观性。为了提高二手车估价的效率,降低评估过程中的人力成本,寻找新的二手车估价方法和新的研究思路,使互联网交易评估系统易于量化评估。本研究以特征价格理论为基础,进行了二手车估价指标体系的构建,建立了基于多元线性回归的二手车估价模型,且模型具有较好的拟合优度,论证了多元线性回归模型在二手车估价中的适用性,可以为二手车评估提供一种新的具有可操作性的方法。
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Research on Influencing Factors and Prediction of Second-hand Car Price
Abstract:With the growth of consumer demand and the development of technological innovation, the second-hand car trading market has a good growth potential. The prediction of second-hand car price is of great significance to improve the efficiency of the trading market, promote the healthy development of the market and enhance the level of science and technology.But at present, the whole appraisal industry is still using the manual appraisal method, the appraisal cost is high, the efficiency is low, the appraisal results have strong subjectivity.In order to improve the efficiency of second-hand car evaluation and reduce the human cost in the evaluation process, new second-hand car evaluation methods and new research ideas are sought to make the Internet transaction evaluation system easy to quantify evaluation.Based on the characteristic price theory, this study constructs the second-hand car evaluation index system, establishes the second-hand car evaluation model based on multiple linear regression, and the model has a good degree of fit, demonstrates the applicability of the multiple linear regression model in the second-hand car evaluation, and can provide a new and operable method for the second-hand car evaluation.
Keywords: Second-hand Car Price Prediction Multiple Linear Regression
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