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Multiple Linear Regression Model Used in Economic Analyses

Constantin Anghelache, Madalina Gabriela Anghel, Ligia Prodan, Sacala Cristina () and Marius Popovici
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Constantin Anghelache: Academy of Economic Studies, Bucharest, “Artifex” University of Bucharest
Madalina Gabriela Anghel: “Artifex” University of Bucharest
Ligia Prodan: Academy of Economic Studies, Bucharest
Marius Popovici: Academy of Economic Studies, Bucharest

Romanian Statistical Review Supplement, 2014, vol. 62, issue 10, 120-127

Abstract: The multiple regression is a tool that offers the possibility to analyze the correlations between more than two variables, situation which account for most cases in macro-economic studies. The best known method of estimation for multiple regression is the method of least squares. As in the two-variable regression, we choose the regression function of sample and minimize the sum of squared residual values. Another method that allows us to take into account the number of variables factor when determining the validity of harmonization is given by the Akaike information criterion.

Keywords: consumer prices; parameter; regression; residual factor (search for similar items in EconPapers)
Date: 2014
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