This study analyzes the Central African Republic’s annual exports as a percentage of GDP from 1960 to 2017, addressing the complexities of real-world data. It involves decomposing and transforming data, identifying optimal ARIMA parameters, and conducting residual diagnostics for model accuracy. The aim is to create an ARIMA model for accurately forecasting future exports.
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