Data Analysis of “Double Eleven” Shopping Section Based on Regression Model
Yuanxiu Song1, Fang Chen2
1Yuanxiu Song, Student, College of Mathematics and Finance, Hunan University of Humanities, Science and Technology, Loudi (Hunan), China.
2Fang Chen, Department of Mathematics and Finance, Hunan University of Humanities Science and Technology Loudi, China.
Manuscript received on May 03, 2018. | Revised Manuscript received on May 09, 2018. | Manuscript published on May 15, 2018. | PP: 4-6 | Volume-5, Issue-5, May 2018. | Retrieval Number: E1069055518
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The “Double Eleven” is dominated by commodity trading, and the large increase in the volume of transactions has an undeniable impact on the total retail sales of China’s economic indicators. Combination of China statistical yearbook and Chinese commerce intelligence network site data, using E Views software, the “Double Eleven” volume and total retail sales of social consumer goods data modeling analysis, trading as explanatory variables, is social consumer goods as explained variable regression analysis. Through data analysis and testing, the model obtained a linear relationship between the two and presented specific data links, which further explained the contribution of “Double Eleven” to the total retail sales of consumer goods. Based on the data analysis, the corresponding suggestions are made to consumers.
Keywords: “Double Eleven”; Total Retail Sales of Consumer Goods; Linear Regression Model.