Research on the Relationship Between Average Cigarette Price per Box and Government Procurement in City A Based on a Regression Model

Abstract

This study aims to analyze and predict the relationship between the average price per box in the cigarette market of City A and government procurement, providing a scientific basis and support for decision-making. By reviewing relevant theories and literature, qualitative prediction methods, regression prediction models, and other related theories were explored. Through the analysis of annual cigarette sales data and government procurement data in City A, a comprehensive understanding of the development of the tobacco industry and the economic trends of tobacco companies in the county was obtained. By predicting and analyzing the average price per box of cigarette sales across different years, corresponding prediction results were derived and compared with actual sales data. The prediction results indicate that the correlation coefficient between the average price per box of cigarette sales and government procurement is 0.982, implying that government procurement accounts for 96.4% of the changes in the average price per box of cigarettes. These findings offer an in-depth exploration of the relationship between the average price per box of cigarettes in City A and government procurement, providing a scientific foundation for corporate decision-making and market operations.