Моделювання трендів інфляції в Україні за допомогою поліноміальних регресій

Abstract

This paper investigates inflation dynamics in Ukraine, focusing on statistical modeling and forecasting methods. Using a dataset spanning 24 months, the research applies polynomial regression techniques to model the inflation rate over time. The paper explores the relationship between monthly inflation values and their respective time periods, identifying key trends and patterns. Through least squares approximation, the model coefficients are determined, enabling predictions for future inflation rates. The results of the forecast indicate a stable, though fluctuating, inflationary trend, with a potential for gradual increase. The study highlights the effectiveness of polynomial regression models in capturing inflation trends and providing reliable short-term forecasts.