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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
    as

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    References listed on IDEAS

    as
    1. Charles R. Hulten & Paul Schreyer, 2010. "GDP, Technical Change, and the Measurement of Net Income: the Weitzman Model Revisited," NBER Working Papers 16010, National Bureau of Economic Research, Inc.
    2. Ryan Macdonald, 2010. "Real Gross Domestic Income, Relative Prices, And Economic Performance Across The Oecd," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 498-518, September.
    3. 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.
    4. N. De Michelis & P. Monfort, 2008. "Some reflections concerning GDP, regional convergence and European cohesion policy," Regional Science Policy & Practice, Wiley Blackwell, vol. 1(1), pages 15-22, November.
    5. Charles I. Jones & Peter J. Klenow, 2016. "Beyond GDP? Welfare across Countries and Time," American Economic Review, American Economic Association, vol. 106(9), pages 2426-2457, September.
    6. Ramcharan, Rodney, 2007. "Does the exchange rate regime matter for real shocks? Evidence from windstorms and earthquakes," Journal of International Economics, Elsevier, vol. 73(1), pages 31-47, September.
    7. Clara Capelli & Gianni Vaggi, 2013. "A better indicator of standards of living: The Gross National Disposable Income," DEM Working Papers Series 062, University of Pavia, Department of Economics and Management.
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    Citations

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    Cited by:

    1. 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.
    2. repec:rsr:supplm:v:65:y:2017:i:2:p:122-129 is not listed on IDEAS
    3. 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.

    More about this item

    Keywords

    regression; correlation; intercept; variables;

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