推广敏感性与分布量的回归模型

Bowen Yang, Xiaochun Lu, Justine Mutuyimana
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引用次数: 0

摘要

节假日促销日和其他日期的区域物流配送量差异较大。消费者在不同促销日表现出不同的促销敏感性,区域分布量与促销敏感性之间存在一定的线性关系。本文通过问卷调查的方式,得到了消费者在不同促销日的促销敏感度。通过对北京5个特定区域的配送量和不同促销日的促销敏感性进行回归分析,得到了不同区域的配送量与促销敏感性之间的指数线性关系。本文比较了各地区分销规模指数回归模型与推广意识指数回归模型的差异。模型检验结果表明,整个北京地区、中关村地区、大红门地区、CBD地区和回龙观地区的推广敏感性和投递量满足指数回归模型,而大兴地区和大红门地区的回归模型不满足正态性假设。大兴地区和大红门地区的推广敏感性与交付量呈非线性关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regression Model for Promotion Sensitivity and Distribution Volume
Regional logistics delivery volume is significantly different on holiday promotion days and other dates. Consumers show different promotion sensitivity for different promotion days, and there is a certain linear relationship between the amount of regional distribution and promotion sensitivity. In this paper, through questionnaires, we get the promotion sensitivity of consumers on different promotion days. Through the regression analysis of the distribution volume in five specific regions of Beijing and the promotion sensitivities in different promotion days, the exponential linear relationship between the delivery volume and sales promotion sensitivity in different regions was obtained. This article compares the disparity between the exponential regression models of distribution volume and promotion awareness in each region. The model test results show that the promotion sensitivity and delivery volume of the entire Beijing region, Zhongguancun region, Dahongmen region, CBD region and Huilongguan region satisfy the exponential regression model, while the Daxing region and Dahongmen region regression model do not satisfy the normality assumption. The promotion sensitivity and delivery volume are not linear relationship in Daxing region and Dahongmen region.
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