MULTIPLE REGRESSION ANALYSIS OF MAIN ECONOMIC INDICATORS IN TOURISM

Authors

  • Erika KULCSÁR "Babeş Bolyai" University of Cluj Napoca, Romania

DOI:

https://doi.org/10.4316/rdt.8.106

Keywords:

coefficient of determinations -, analysis of variance, Student test, multivariate analysis of dependencies

Abstract

This paper analysis the measure between GDP dependent variable in the sector of hotels and restaurants and the following independent variables: overnight stays in the establishments of touristic reception, arrivals in the establishments of touristic reception and investments in hotels and restaurants sector in the period of analysis 1995-2007. With the multiple regression analysis I found that investments and tourist arrivals are significant predictors for the GDP dependent variable. Based on these results, I identified those components of the marketing mix, which in my opinion require investment, which could contribute to the positive development of tourist arrivals in the establishments of touristic reception.

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Published

20-12-2009

Issue

Vol. 0 No. 8 (2009)

Section

Articles

License

Revista de Turism: Studii si Cercetari in Turism (RDT) is an open access scholarly journal that allows free access to its content (articles, issues). RDT is available online to the readers without financial, legal, or technical barriers (no publication charges), based on the theory to keep an article's content intact. Authors can use Creative Commons licenses to specify usage rights of articles. Copyright of articles belong to authors.

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This work is licensed under a Creative Commons Attribution License 4.0.