Abstract
In today's competitive business landscape, companies seek to optimize marketing strategies, with advertising investment significantly impacting product sales. However, identifying the most effective advertising plan is complex. This paper examines the relationship between product sales and advertising investment using linear regression analysis. By collecting data and establishing a linear regression model, it aims to identify the optimal advertising strategy for maximizing product sales. This paper mainly discusses the relationship between product sales and advertising investment by using linear regression analysis method. Through the data collection, the linear regression model establishment and analysis, it aims to determine the best advertising scheme to achieve the maximum sales of products. The research thoroughly details the principles of linear regression analysis, covering data collection, model development, and validation. It discusses advertising strategies based on model results, using case studies for analysis. The text presents relevant data and variables, with visuals to demonstrate practical applications of linear regression equations and their derivations, laying a foundation for enterprise advertising recommendations.
Published Version
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