Exploring Factors Affecting Store Operating Profit Using Multiple Regression
DOI:
https://doi.org/10.54097/1qjjnb62Keywords:
Multiple Linear Regression, Marketing Spend, Profit.Abstract
The aim of this paper is to increase the profit of the company more efficiently. With the continuous development of science and technology and big data at this stage, the degree of influence of Marketing Spend, Administration, Transport and Area factors on Profit is quantified through the use of multiple linear regression models. This article is a linear regression analysis using the operational data collected from Kaggle for a company's 50 shops in 3 regions. Through the analysis, the model has a good fit and significant linear relationship, which can predict the future profit of the enterprise. At the same time, the model can also guide the enterprise how to improve the operating profit more efficiently, which has a certain guiding effect on the development of business operations. Based on the results, it can be seen that Marketing Spend has the greatest impact on the enterprise's profit.
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