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Model based on Linear Regression Function

Author

Listed:
  • 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)

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.

Suggested Citation

  • Constantin ANGHELACHE & Radu Titus MARINESCU & Emanuela IONESCU & Ligia PRODAN & Alexandru URSACHE, 2014. "Model based on Linear Regression Function," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(1), pages 120-125, January.
    • Handle: RePEc:rsr:supplm:v:62:y:2014:i:1:p:120-125
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