COST FORECAST OF SURPLUS CATTLE STOCK BASED ON DYNAMIC ANALYSIS OF MULTIPLE REGRESSION MODEL
The article illustrates the averaging parameters of multiple regression models, and the cost forecast of surplus cattle stock at different factors according to farms of Chekmagushevsky District in Bashkortostan. To analyze the changes in the regression models the author applies the methods of standardization and the index dynamic expansion of the cost of the surplus cattle stock on composite components, reflecting changes in the factors and the efficiency of their use.
Keywords: forecasting, averaging parameters of regression models, method of standardized values of a productive indicator, index analysis of regression models, cost of surplus cattle stock.
Aigul M. Khazieva, a post-graduate student. - Bashkir State Agrarian University.