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Multiple Regressions for the Financial Analysis of Alabanian Economy

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  • Bederiana Shyti
  • Ilva Isa
  • Silvana Paralloi

Abstract

Fulfillment of strategic, managerial and operational decisions is the ultimate aim of any company. Economic performance is to be evaluated on the basis of effectiveness and efficiency of use of resources. The aim of this paper is to study economical phenomena through a statistical point of view. Our motivation is to emphasize the validity of the regression analysis in economic performance. Multiple regression analysis will be applied to demonstrate the trend of economic trend of transitory economy of Albania. The whole paper will be as a case study on a limited liability company in the production industry. There are a few processes from raw material to final product. Regression analysis, correlation analysis, ANOVA are used to represent a mathematic-statistical model to analyse the economic progress of the company depending of the used indicators. The main goal of statistical analysis used in the paper, is to demonstrate the kind of relationship between the variables, presented by a equation of multiple linear regression (in our case one dependent and two independent variables). SPSS 17.5 will be used to evaluate the statistical results.

Suggested Citation

  • Bederiana Shyti & Ilva Isa & Silvana Paralloi, 2016. "Multiple Regressions for the Financial Analysis of Alabanian Economy," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 5, December.
    • Handle: RePEc:bjz:ajisjr:1584
    DOI: 10.5901/ajis.2016.v5n3s1p300
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