The multiple linear regression used to analyse the correlation between variables

Dan Cruceru, Madalina Gabriela Anghel and Aurelian Diaconu
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Dan Cruceru: „ARTIFEX” University of Bucharest
Madalina Gabriela Anghel: „ARTIFEX” University of Bucharest
Aurelian Diaconu: „ARTIFEX” University of Bucharest

Romanian Statistical Review Supplement, 2016, vol. 64, issue 10, 114-117

Abstract: The use of the statistical-econometric models in macro-economic analyses can be used successfully by using the model of simple linear regression but, multiple linear regression is preffered because more factors influence the evolution of resultative variables. In the case of multiple linear regression we have to identify the factors we consider and they should be included in the reconexed model, following the same graphic representation, of establishing the corelograma to make the inventory of the cloud of dots and the evolution of each variable, and based on that we may interprete the data and moreover, based on the value of the regression parameters, we may identify the intensity, direction of influence, in other words, the intensity of the correlation between the considered factors.

Keywords: multiple regression; data; research; investments; import (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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