Correlation and regression analysis of factors affecting a tourist destination (The case of the Republic of Tatarstan)

In recent years, much attention has been paid to the development of domestic tourism, as this area has a positive impact on the national and regional economy. The Republic of Tatarstan has rich natural and cultural-historical resources, attracting tourists, but also a developed transport and tourist infrastructure. It is also worth noting that various major world events were held in the republic, which allowed attracting tourists and developing this industry. The development of the Republic as a tourist destination will make it possible to create a competitive tourist product, attract additional investments and tourist flows that will be directly interested in the services offered. To evaluate the effectiveness of the tourist destination and to assume its further development, the authors use correlation and regression analysis and further model construction. To do this, it is necessary to allocate statistical indicators. These indicators have weight when assessing and have a different impact on the development of the tourism sector. This article discusses the factors that affect the added value that is created directly in tourism. 21 indicators were selected for the analysis and with the help of correlation and regression analysis, only 5 coefficients were selected that significantly affect the development of tourism in the Republic of Tatarstan. The statistical significance of correlation coefficients is also carried out in the article, the following hypotheses are tested: the hypothesis of the absence of heteroskedasticity, the statistical significance of the regression equation is evaluated, and the autocorrelation of the residuals is checked. Based on the analysis, recommendations and conclusions are given that allow us to determine the further development of the tourist destination of the Republic of Tatarstan.Originally published in https://stcc.rgutspubl.org/index.php/1/article/view/7