LINEAR REGRESSION MODEL IN THE ANALYSIS OF THE GROSS DOMESTIC PRODUCT

Autor: Constantin ANGHELACHE, Mario PAGLIACCI
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Revista Română de Statistică, Vol 59, Iss 11, Pp 17-30 (2011)
Druh dokumentu: article
ISSN: 1018-046X
1844-7694
Popis: As we ascertain the evolutionary trend of the global economy, it becomes evident that strict analyses on the evolution of a certain micro or macro-economical indicator is no longer enough to describe the corresponding phenomenon, as the emphasis shifts towards the analysis of the correlations existing between two or more indicators, able to offer a much stronger insight on the economical phenomenon. We propose to use the simple linear regression model, a relatively easy and very effective modality to establish the correlation between two economical indicators. The measurement of the factor’s influence on the indicator will most surely offer additional information on the phenomen they describe.
Databáze: Directory of Open Access Journals