Statistical software plays an important role in modern statistical and econometric analysis. It allows researchers and students to organize data, perform calculations, estimate econometric models, and interpret results with accuracy and speed. Among the most widely used programs, EViews is considered an essential tool in economic and statistical studies, especially in regression and time series analysis. Through statistical software, users can study simple and multiple linear regression models, detect econometric problems such as autocorrelation, multicollinearity, and heteroskedasticity, and apply appropriate corrective methods. These software tools also provide advanced techniques for testing randomness, analyzing seasonal variations, studying autocorrelation functions (ACF) and partial autocorrelation functions (PACF), as well as conducting stationarity tests. Furthermore, they facilitate the application of the Box–Jenkins methodology in forecasting and time series modeling. Therefore, statistical software has become indispensable in academic research and practical statistical analysis because it improves the quality, reliability, and efficiency of statistical studies.
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