This article presents a brief seasonality analysis based on monthly statistics of some variables specific to the total sales of home-produced and imported cars focusing on the data series of the domestic market over the last three years, distinctly structured on three significant subpopulations (supply and delivery of car running on petrol, supply and delivery of diesel cars, and delivery of the leading car makes/brands). The statistical analysis of seasonality is focused on the faster assessment of the average structure, generating more interesting information regarding the data processed, which is specific to the complex type of thinking of statistics, and the aggregate and subsequently structured study, giving original indicators (absolute and relative gap of structural coefficients of seasonality), which the authors consider an interesting investigation solution providing a higher degree of overall simplicity and accessibility. The article also used the E-Views software package to reveal seasonality through special econometric graphs, which becomes a second proof of originality, comparable to the classical statistical charting, as in modern econometric modeling, immortalized in a mean dynamics (the moving average method).
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