Aspecte privind modelele de interpretare a variabilei reziduale

Gabriela-Victoria Anghelache, Ion Partachi, Titus Radu Marinescu and Cosmin Paunescu
Additional contact information
Gabriela-Victoria Anghelache: Academia de Studii Economice – Bucuresti
Ion Partachi: Academia de Studii Economice a Moldovei – Chisinau
Titus Radu Marinescu: Universitatea Artifex - Bucuresti
Cosmin Paunescu: Academia de Studii Economice – Bucuresti

Romanian Statistical Review Supplement, 2012, vol. 60, issue 3, 174-179

Abstract: The linear correlation quotient allows us to ascertain the existence of a linear link between the variables of the regression model. This paper attempts to examine the interpretation of the residual variables through the perspective of models used.

Keywords: regression; residual value; covariance; ecart; dispersion; linear correlation quotien (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.revistadestatistica.ro/suplimente/2012/3/srrs3_2012a24.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:60:y:2012:i:3:p:174-179

Access Statistics for this article

More articles in Romanian Statistical Review Supplement from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().