Forecasting organizational activities using correlation and regression analysis

The construction industry today has a significant impact on the well-being of the country’s population, mainly due to the construction of residential and non-residential buildings equipped with a developed socio-economic infrastructure and comfortable living conditions. Due to the constant changes in the economy, each business entity needs to constantly monitor, analyze the current market situation and forecast for the long term. To carry out these tasks, various assessment methods are used, which include regression analysis, which allows to determine the degree of influence of one or more factors on the effective feature, both in dynamics and in the objects of research, and correlation analysis, which allows to determine the closeness of the relationship between several variables. The article uses multiple correlation and regression analysis of financial performance indicators in forecasting the activities of Bauinvest LLC, Krasnodar. Based on the conclusions drawn during the calculations carried out, key recommendations are identified that contribute to improving the performance of the organization under study in subsequent periods.