Correlation–Regression Relationships in the Analysis of Australia’s National Economy

Abstract

This article conducts a multifactor correlation–regression analysis based on the key indicators of Australia’s national economy. The study examines the statistical relationships between factors affecting the growth of gross domestic product (GDP), including imports, exports, the services sector, agricultural value added, population size, and industrial indicators. Using a pairwise correlation matrix, linear relationships among the factors were identified, and the significance of the regression equation was evaluated using the Fisher criterion. The results indicate that exports and the services sector are the factors exerting the greatest influence on GDP growth in Australia’s economy. The study enables the formulation of important scientific and practical conclusions for assessing Australia’s economic development, its structural potential, and macroeconomic stability.