USING STATISTICAL MODELS IN FORECASTING ECONOMIC INDICATORS USING THE R STUDIO PROGRAM

This study investigates the application of statistical models for forecasting economic indicators using R Studio. The research focuses on time series analysis, including ARIMA and exponential smoothing methods, to predict GDP, inflation, and exchange rates. The study demonstrates how R Studio’s data analysis and visualization tools enhance the accuracy and efficiency of economic forecasts. The results are valuable for policymakers, economists, and businesses for strategic planning, resource allocation, and decision-making.