Description and software implementation of data processing methods to improve the accuracy of forecasting.
Rychka O.V.
Methods to improve forecasting accuracy using linear regression models and their main advantages are described. The stages of work of software, developed by the author in the programming language Visual Basic for Applications to implementation the proposed methods are considered. Key words: forecasting accuracy, linear regression model, software, the anomalous measurements
