2022
REGRESSION ANALYSIS IN THE SYSTEM FOR ASSESSING FACTORS AFFECTING THE COST OF INDUSTRIAL PRODUCTS
Authors: Abdurahimov Abdugaffor Abduvositovich - Candidate of the Sciences of Economics, Associate Professor of the Department of Accounting and Audit under the SEI “KhSU named after acad. B. Gafurov”
JOURNAL NUMBER: 1(60). YEAR OF ISSUE: 2022. LANGUAGE OF THE ARTICLE: Tajik
ANNOTATION
The article attempts to determine the dependence of the finished product of the milling industry on material and operational factors using correlation analysis tools. Modeling and correlation-regression analysis showed that the cost of flour production depends primarily on the price of raw materials, which is objectively variable and is determined by a coefficient of 0.99. The rest of the cost organizers do not have a decisive influence on the cost of the finished product, which should be assessed as meeting the requirements of labor productivity in the industry. The analysis showed that the processing of raw materials in LLC is at the required level.
KEY WORDS
regression and regression analysis, correlation and correlation analysis, calculation, cost, analysis of variance, standard error, regression statistics.