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THE APPLICATION OF MULTI-REGRESSION ANALYSIS IN AN ENTERPRISE SALE FORECAST

1 KAČMÁRY Peter
Co-authors:
1 STRAKA Martin 1 MALINDŽÁKOVÁ Marcela 1 BINDZÁR Peter
Institution:
1 Technical University of Košice, Faculty BERG, The Institute of Logistics, Park Komenského 14, 043 84, Košice, Slovakia, EU, peter.kacmary@tuke.sk, martin.straka@tuke.sk, marcela.malindzakova@tuke.sk, peter.bindzar@tuke.sk.
Conference:
Carpathian Logistics Congress, Hotel Tatra, Zakopane, Poland, EU, November 28th - 30th 2016
Proceedings:
Proceedings Carpathian Logistics Congress
Pages:
412-417
ISBN:
978-80-87294-76-5
ISSN:
2694-9318
Published:
30th October 2017
Proceedings of the conference were published in Web of Science.
Metrics:
403 views / 138 downloads
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Abstract

This paper deals with multi factor analysis to obtain more reliable forecast. The sale is influenced very strongly by the prices of offered products especially in retails. And thus, the aim of the paper is to show, how the forecasted volume could be influenced by the price expectation in near future. The forecast uses the application of the multiple linear regression.

Keywords: Forecast, multi-regression analysis, sale, retails

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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