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Turnover’s Forecasting at Arabesque Company by Multiple Regression Method

Author

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  • Gradea Cristina Rodica

    () (“Gheorghe Cristea” Romanian University of Sciences and Arts Faculty of Economic, Legal and Administrative Studies, Bucharest)

Abstract

Multiple regression method is based on a numerical basis with ”n” variables of the form ( ) n y f x , x ..., x 1 2 = and on an analytical function that approximates the numerical function. In this research it was assumed that the turnover is dependent on "the number of employees" and "capital stock value." Conclusion of this study was that for an increase with 1000 in the number of employees, turnover will increase with 4.557 million lei, while an increase of 10 billion lei for fixed capital, turnover will increase with 5.16 million lei.

Suggested Citation

  • Gradea Cristina Rodica, 2010. "Turnover’s Forecasting at Arabesque Company by Multiple Regression Method," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 297-299, October.
  • Handle: RePEc:ovi:oviste:v:10:y:2010:i:2:p:297-299
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    More about this item

    Keywords

    regression; multiple regression; turnover; fixed capital;

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis

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