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Abstract:
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The Gross Domestic Product (GDP) can be used to analyze the growth of some sectors in the country's economy. Furthermore, the GDP demonstrates how these sectors behave on the national stage. In this
article, the aim is to study whether there is a relationship between the country's GDP and the growth
of civil construction. For this, a time series was used with data from 1997. For the series fit, the
selected model was ARIMA. Predictions for these data were tested, allowing to conclude that the
model ARIMA is a viable alternative for the analyzed time series using as a criterion choice, the mean
absolute percentage error (MAPE) values. To check whether GDP and civil construction growth are
associated, we used the Pearson's Correlation coefficient and the results revealed a positive and
moderate correlation between the variables (r = 0.741). |
