Abstract

In practice, as well as in economic theory, fulfilling strategic, managerial and operational decisions is the ultimate goal of any company. Economic performance should be assessed on the basis of the effectiveness and efficiency of resource use. The purpose of this paper is to study economic phenomena through a statistical standpoint. Our motive is to emphasize the validity of regression analysis method on economic performance. Multiple regression analysis (MRA) will be applied to demonstrate the economic trend of the transition economy of Albania. All paper will be a case study for a limited liability company in the production industry. There are several processes from raw material to final product. We have used multiple linear regression model (MLRM) and three types of statistical technique for statistical analysis (SA): regression analysis (RA), correlation analysis (CA),analysis of variance (Two-way ANOVA) to represent a mathematical-statistical model for analyzing the company's economic performance depending on the indicators used. The main purpose of SA used in this paper is to show the type of relationship between variables presented by a multiple linear regression (MLR) and to explain it as a mathe matical-statistical model (MSM - in our case with one dependent variable and two independent variables). The Statistical Package for Social Sciences, version 17.5 (SPSS) will be used to analyze and evaluate statistical outcomes.

Keywords

References

[1] F. Fechete, A. Nedelcu, ―Analysis of the economic performance of a organization using multiple regression‖, International Conference of scientific paper, AFASES May 2014, Brasov, p. 22-24.
[2] J. Lani, (2010) The Multiple Linear Regression Analysis. The SPSS website. [Online]. Available: http://www.statisticssolutions.com.
[3] C. Anghelache, M. G.R. Pagliacci, E. Bugudui, D. C. Christian, B. Dragomir, “Multiple Regression Used in Macro-economic Analysis‖, Revista Română de Statistică – Supliment Trim II/2013.
[4] C. Anghelache, A. Manole„ M.G. Anghel, ―Analysis of final consumption and gross investment influence on GDP – multiple linear regression model”, Theoretical and Applied Economics Volume XXII (2015), No. 3(604), Autumn, pp. 137-142.
[5] C. Anghelache, A. Manole„ M.G. Anghel, M.Popovici, ―Multiple Regressions Used in Analysis of Private Consumption and Public Final Consumption Evolution‖, International Journal of Academic Research in Accounting, Finance and Management Sciences Vol. 5, No.4, October 2015, pp. 69–73 E-ISSN: 2225-8329, P-ISSN: 2308-0337. ©2015 HRMARS www.hrmars.com (IJARA, AFMS).
[6] http://open.data.al
[7] http://www.monitor.al
[8] http://www.financa.gov.al
[9] http://web.stanford.edu/~hastie/Papers/ESLII.pdf
[10] http://www.lexjansen.com/nesug/nesug90/NESUG90009.pdf
[11] http://www.statisticssolutions.com/manova-analysis-anova/
[12] L. Buşe, M. Ganea, D. Cîrciumaru, ―Using linear regression in the analysis of financial-economic performances‖, Craiova, Romania, Available: http://feaa.ucv.ro/AUCSSE/0038v2-002.pdf.
[13] R. A. Bell, O. C. Anderson, M. V. Sanders, ―Real Estate Damages‖, 2nd Edition. Chicago, Illinois: Appraisal Institute, 2008: 31-37.
[14] Spurr, William A. & Bonini, Charles P., Statistical Analysis for Business Decisions. Homewood, Illinois: Richard D. Irwin, Inc., 1973: 495.
[15] Isakson, Hans R., ―Using Multiple Regression Analysis in Real Estate Appraisal.‖ The Appraisal Journal (October, 2001): 424-430
[16] Spurr, William A. & Bonini, Charles P., Statistical Analysis for Business Decisions. Homewood, Illinois: Richard D. Irwin, Inc., 1973: 503.
[17] Isakson, Hans R., ―Using Multiple Regression Analysis in Real Estate Appraisal.‖ The Appraisal Journal (October, 2001): 424-430
[18] C. Anghelache, M. G. Anghel,., L. Prodan, C. Sacală, C., M. Popovici, (2014). ―Multiple Linear Regression Model Used in Economic Analyses. Romanian Statistical‖ Review Supplement, Volume (Year): 62 (2014), Issue (Month): 10 (Octomber), 120-127.
[19] C. Anghelache, Economic status on the recovery path. Bucharest: Economica Publishing House, Romania 2014.
[20] C. Anghelache, (coord.) et al. (2014). ―Statistical-econometric Models used to study the Macroeconomic Correlations‖, Romanian Statistical Review (Supplement), December 2014.
[21] C. Anghelache, (2008) ―Treaty on economic and theoretical statistics‖, Bucharest: Economica Publishing House.
[22] R. Bachman, (2011) ―Public Consumption over the Business Cycle‖, Society for Economic Dynamics in 2011 Meeting Papers with number 701.
[23] C. Gourieroux, J. Jasiak, (2001) ‖Financial econometrics: problems, models and methods‖, Princeton University Press, Princeton.
[24] M. G.R. Pagliacci, G. V. Anghelache, I. M. Pocan, R. T. Marinescu, A. Manole ―Multiple Regression – Method of Financial Performance Evaluation‖, ART ECO – Review of Economic Studies and Research, Editura Artifex, Vol. 2/No.4/2011, pp. 3-9.