IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v63y2015i4p27-29.html
   My bibliography  Save this article

Elements concerning the Use of Multiple Regression Models

Author

Listed:
  • Constantin Anghelache

    („Artifex” University of Bucharest, Bucharest University of Economic Studies)

  • Madalina Gabriela Anghel

    („Artifex” University of Bucharest)

  • Ligia Prodan

    (Bucharest University of Economic Studies)

  • Cristina Sacala

    (Bucharest University of Economic Studies)

  • Marius Popovici

    (Bucharest University of Economic Studies)

Abstract

The situation in which economic correlations involve only two variables are very rare. Rather we have a situation where a dependent variable, Y, can depend on a whole series of factorial variables or regressions. For example, the demand for a commodity depends not only on price but also on the prices of substitutes or complementary goods, the general level of consumer prices and resources. Thus, in practice, there are normally correlations.

Suggested Citation

  • Constantin Anghelache & Madalina Gabriela Anghel & Ligia Prodan & Cristina Sacala & Marius Popovici, 2015. "Elements concerning the Use of Multiple Regression Models," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(4), pages 27-29, April.
    • Handle: RePEc:rsr:supplm:v:63:y:2015:i:4:p:27-29
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2015/05/RRSS_04_2015_A05.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Madalina-Gabriela ANGHEL & Ana CARP & Marian SFETCU & Stefan Gabriel DUMBRAVA, 2017. "Econometric Model For Analyzing The Influence Of Factors On Final Consumption," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(10), pages 123-131, October.
    2. Madalina-Gabriela ANGHEL & Constantin ANGHELACHE & Diana Valentina DUMITRESCU & Daniel DUMITRESCU, 2016. "Analysis of the correlation between the Gross Domestic Product and some factorial variables," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(10), pages 138-145, October.
    3. Constantin ANGHELACHE & Andreea Ioana MARINESCU & Doina AVRAM & Doina BUREA & Gyorgy BODO, 2017. "Model analysis of the correlation between GDP and final consumption components," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(2), pages 84-95, February.

    More about this item

    Keywords

    economic correlations; Regression Models;

    Statistics

    Access and download statistics

    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:63:y:2015:i:4:p:27-29. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.