Prediction of Future Tourism Number in Hainan Region Based on Least Square Fitting

Abstract

Tourism is an important part of the city's income and its importance to the country is beyond doubt, not only contributing to the national economy and employment opportunities, but also promoting cultural exchanges and mutual understanding between people, and promoting social development and progress. Therefore, we should attach importance to the development of tourism, formulate reasonable policies and measures, and create a good tourism environment. Among them, predicting the total number of visitors in the short term in the next five years, so as to formulate more appropriate tourism-related policies and guidelines can not only better improve the overall income of the city, but also an effective way to improve people's living standards. In this paper, we calculate the correlation coefficient to predict the tourism flow of Hainan in the next five years, and apply the least square method to further improve the functional prediction image for this problem.