IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v64y2016i1p70-76.html
   My bibliography  Save this article

Model for estimating Financial Results at Company Level by using Simple Linear Regression

Author

Listed:
  • Andreea-Gabriela BALTAC

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

  • Zoica DINCA (NICOLA)

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

Abstract

The econometric model means a lot of numerical relations that enables simplified representation of the economic process subject to study. Current models often involves more than ten relations (equations). The validity of a model is tested by comparing the results with statistical observations. In order to study an economic phenomena, he is represented through a variable behavior. This economic variable depends on other variables of which is linked through mathematical relationships. The regression analysis is a statistical technique based on the identification of two variables and is used to relate variables.

Suggested Citation

  • Andreea-Gabriela BALTAC & Zoica DINCA (NICOLA), 2016. "Model for estimating Financial Results at Company Level by using Simple Linear Regression," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(1), pages 70-76, January.
    • Handle: RePEc:rsr:supplm:v:64:y:2016:i:1:p:70-76
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2016/03/RRS_01_2016_A11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ilic, Maja, 2010. "Economic value added as a modern performance indicator," Perspectives of Innovations, Economics and Business (PIEB), Prague Development Center (PRADEC), vol. 6(3), pages 1-4, October.
    2. Maja Ilic, 2010. "Economic Value Added As A Modern Performance Indicator," Perspectives of Innovation in Economics and Business (PIEB), Prague Development Center, vol. 6(3), pages 94-97, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Constantin Căruntu & Mihaela Loredana Lăpăduși, 2012. "Methods Used in Determining the Value Added Used in the Assesment of the Company’s Real Economic Power," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(1), pages 33-48.
    2. Miron Vasile Cristian Ioachim & Focsan Eleonora Ionela, 2017. "The Analysis Of The Performance Of Companies Based On The Economic Value Added," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 181-190, February.

    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:64:y:2016:i:1:p:70-76. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.