Correlation and Regression Relationships in Analyzing the National Economy of Canada

This article conducts a multifactor correlation–regression analysis based on the key indicators of Canada’s national economy. The study examines the statistical relationships between factors influencing the growth of gross domestic product (GDP), including imports, exports, the service sector, value added in agriculture, population size, and industrial indicators. Linear relationships among the factors were identified using a pairwise correlation matrix, and the significance of the regression equation was evaluated using the Fisher criterion. The results show that exports and the service sector are the factors with the strongest impact on GDP growth in the Canadian economy. The study provides important scientific and practical conclusions for assessing Canada’s economic development, its structural potential, and macroeconomic stability.