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The Practical Use Of The Linear Multiple Regression In The Complex Gdp Analysis


  • Ligia Dudu


  • Raluca Georgiana Moscu



The economic and social phenomena meet the influence of several factors, and their contribution is more difficult to argue only through the dependence analysis of two variables. Using the simple regression model explains in a small contribution the factors of an economical result that evolving differently from year to year, provided that the factors are found together, in various proportions, in each economic outcome. Most often we use the multifactorial approach to analyze the evolution of a phenomenon. This article highlights the effective possibilities to use the multiple linear regression model in the analysis of gross domestic product. To emphasize the practical aspects related to the use of multiple linear regression in the macroeconomic analyzes, we have developed a practical study in which we defined as dependent variable the GDP, and the fluctuations will be explained by more causal variables. We used data with a yearly frequency, the economy of Romania and to compare we deflated, taking as a basis 1990. The objectives of this analysis are to determine the function that describes the best relationship between the indicators undergoing analysis, to observe the link that Is established between them and to estimate an econometric statistically significant valid model.

Suggested Citation

  • Ligia Dudu & Raluca Georgiana Moscu, 2016. "The Practical Use Of The Linear Multiple Regression In The Complex Gdp Analysis," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 8(2), pages 74-79, June.
  • Handle: RePEc:khe:journl:v:8:y:2016:i:2:p:74-79

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    Cited by:

    1. Catalina Motofei, 2017. "Foreign Trade Evolutions in the European Union," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(2), pages 156-163, April.


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