Evaluation and Improvement of Enterprise Budget Performance Based on Multiple Linear Regression Algorithm

Abstract

Enterprise performance evaluation is a comprehensive analysis of an organization's production and operation activities. It combines quantitative and qualitative methods and uses reasonable and scientific principles and assessment tools to evaluate and judge the overall work performance or overall management level of the evaluated object, and to evaluate and supervise it, which is an important means to improve the enterprise management level to a certain extent, to achieve rational allocation of resources and improve operational efficiency. This paper first introduces the multiple linear regression analysis algorithm, the main role of the multiple linear regression analysis algorithm model in performance evaluation is to provide a scientific basis for budget performance evaluation, so that enterprise managers through the analysis of the indicators that affect the results of the implementation of the enterprise's strategic plan and the quality of work, and then can determine its performance in the management process. In turn, it is possible to determine what problems exist in their management process and to create an evaluation system and improve it through a multiple linear regression model. The model mainly uses the least squares method to estimate the parameters and transforms it into a linear regression model. Secondly, it introduces the traditional performance evaluation method of the cause-based budget and proposes an improved multiple linear regression model to evaluate the enterprise performance.