Multiple regression analysis as an approach to integrated assessment expenses for the repair of the machine and tractor fleet of farms of the Volga federal district

Abstract

Due to the active development of our country, the agricultural industry needs an effective mathematical model of the dependence of the costs of repairing the machine and tractor fleet on various factors with the possibility of analysis and forecasting. The model proposed by the authors of the article with statistically significant coefficients has high accuracy, which means that it allows you to make reliable forecasts of the indicator under consideration. Purpose of the wo rk is to construct a multifactorial model of the influence of the average labor intensity and the average monthly number of repaired machines and mechanisms during maintenance 1 and 2 on the cost of repair of MTP farms in the Volga Federal District; to establish an analytical dependence of the response on factors by introducing quadratic terms into the model; to analyze the resulting model. Method and methodology of work: general scientific methods of theoretical research: analysis and synthesis, systematization, generalization, multiple regression analysis. Results: a multifactorial model of the influence of the average labor intensity and the average monthly number of repaired machines and mechanisms during maintenance 1 and 2 on the cost of repair of the MTP of the Volga Federal District was obtained. The actual cost of repair is compared with the cost of repair obtained by the model. The results obtained allow us to accurately predict the cost of MTP repair. Scope of results: the results of the study can be used to analyze and predict the cost of MTP repair.