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Multiple linear regression used to analyse the corelation between GDP and some variables

Author

Listed:
  • Constantin Anghelache

    (Bucharest University of Economic Studies, “ARTIFEX” University of Bucharest)

  • Cristina SACALÃ

    (Bucharest University of Economic Studies)

Abstract

Statistical researchers often use a linear relationship to predict the (average) numerical value of Y for a given value of X using a straight line (called the regression line). If you know the slope and the y-intercept of that regression line, then you can plug in a value for X and predict the average value for Y. In other words, you predict (the average) Y from X. If you establish at least a moderate correlation between X and Y through both a correlation coefficient and a scatterplot, then you know they have some type of linear relationship.

Suggested Citation

  • Constantin Anghelache & Cristina SACALÃ, 2016. "Multiple linear regression used to analyse the corelation between GDP and some variables," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(9), pages 94-99, September.
    • Handle: RePEc:rsr:supplm:v:64:y:2016:i:9:p:94-99
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    References listed on IDEAS

    as
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    6. Daniel DUMITRESCU & Mădălina Gabriela ANGHEL & Constantin ANGHELACHE, 2015. "Analysis Model of GDP Dependence on the Structural Variables," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(605), W), pages 151-158, Winter.
    7. Constantin ANGHELACHE & Victoria Gabriela ANGHELACHE & Alexandru URSACHE, 2015. "Model of structural analysis of the dynamics of the DFI at European level," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(10), pages 65-72, October.
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    13. Constantin ANGHELACHE & Madalina Anghel, 2015. "Model of analysis of the dynamics of the DFI (DFI) sold correlated with the evolution of the GDP at European level," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(10), pages 79-85, October.
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    Cited by:

    1. Constantin ANGHELACHE & Ion PARTACHI & Madalina-Gabriela ANGHEL & Gyorgy BODO & Radu STOIAN, 2016. "General theoretical notions on univariate regression," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(11), pages 136-144, November.
    2. Constantin Anghelache & Aurelian DIACONU & Andreea Ioana MARINESCU & Marius POPOVICI, 2016. "Comparative study of the evolution of the Gross Domestic Product indicator," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(12), pages 165-172, December.
    3. Madalina-Gabriela ANGHEL & Radu STOICA & Tudor SAMSON & Alexandru BADIU, 2017. "Analysis of the Econometric model of the correlation between GDP and final consumption," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(2), pages 122-129, February.

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