IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v60y2012i3p279-285.html
   My bibliography  Save this article

Elemente specifice privind utilizarea metodei regresiei multiple in corelatia economica

Author

Listed:
  • Constantin ANGHELACHE

    (Universitatea Artifex - Bucuresti)

  • Ligia PRODAN

    (Academia de Studii Economice – Bucuresti)

  • Cosmin PAUNESCU

    (Academia de Studii Economice – Bucuresti)

  • Catalina Claudia SAVA

    (Universitatea Lucian Blaga – Sibiu)

Abstract

This study approaches, from the theoretical viewpoint, the multi-factorial regression method as tool in the analysis of links establishing between indicators in economy, the conditions in which all the other factorial variables remain constant. Starting from the reality that the equation of population regression is unknown, for its estimation the data from a sample are used. The most known estimation mehtod in the multiple regression is the least squares.

Suggested Citation

  • Constantin ANGHELACHE & Ligia PRODAN & Cosmin PAUNESCU & Catalina Claudia SAVA, 2012. "Elemente specifice privind utilizarea metodei regresiei multiple in corelatia economica," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 60(3), pages 279-285, September.
  • Handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:279-285
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/suplimente/2012/3/srrs3_2012a40.pdf
    Download Restriction: no

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:279-285. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adrian Visoiu). General contact details of provider: http://edirc.repec.org/data/stagvro.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.