Cigarette market price prediction method based on multiple linear regression

Abstract

The invention provides a cigarette market price prediction method based on multiple linear regression, comprising the following steps of: firstly, acquiring market historical data of a cigarette brand within a territorial scope and a historical time period, then defining early market price, social inventory and demanded quantity of retailers in the data as variables, carrying out difference treatment on each variable, and carrying out deferring treatment for multiple periods on a social inventory difference and a demanded quantity difference of the retailers; next, calculating a regression coefficient among an early market price difference, a deferred social inventory difference and the demanded quantity difference of the retailers to create a price prediction model; and finally, predicating the later market price of the cigarette brand according to the model expression of the price prediction model so as to accurately predicate the market price of a cigarette and further help a manager better control a cigarette market.

Description

technical field [0001] The invention relates to a cigarette market price prediction method, in particular to a cigarette market price prediction method based on multiple linear regression analysis. Background technique [0002] Cigarette market price refers to the transaction price of cigarettes with a certain scale in each regional market or the price of purchases from non-main channels, which reflects the market supply and demand situation. At present, there are many researches on the prediction of cigarette market demand, but relatively few researches on the analysis of market price. The cigarette market price prediction model will make a further exploration on the analysis of market price. [0003] In recent years, affected by the international financial crisis, the price of cigarettes in the domestic market has also withstood a severe test, especially in the high-end cigarette market where prices continued to invert. With various domestic economic stimulus policies, th...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method for predicting cigarette market prices based on multiple linear regression analysis, in order to solve the technical problem in the prior art that the market price of cigarettes in the later stage cannot be accurately predicted

Images