Model based on Linear Regression Function

Constantin Anghelache, Radu Titus Marinescu, Emanuela Ionescu, Ligia Prodan and Alexandru Ursache
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Constantin Anghelache: Academy of Economic Studies, Bucharest/“Artifex” University of Bucharest
Radu Titus Marinescu: “Artifex” University of Bucharest
Emanuela Ionescu: “Artifex” University of Bucharest
Ligia Prodan: Academy of Economic Studies, Bucharest
Alexandru Ursache: Academy of Economic Studies, Bucharest

Romanian Statistical Review Supplement, 2014, vol. 62, issue 1, 120-125

Abstract: Linear regression model involves the identification of variables for defining specification for variable and model residuals; the context in which the regression model is used. Analysis of chronological (time) using a temporal function which, in essence, is also a regression, with a variable time (t). The purpose of using the regression model is to obtain the parameters that correspond to the set of variable dependency analysis, formulated between variables, where the series of data are recorded in the statistical units of the population for a period or a moment, and for highlighting the dependence between the variables within a specified time-frame.

Keywords: dependency; estimation; method; regression; variable (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:62:y:2014:i:1:p:120-125

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