Least square method, Service trade market, Multiple linear regression model
Abstract
Service trade is a key part of the economic system. This passage aims to use the multiple linear regression model and the least square method to figure out the factors, which would influence the development of the service trade. In addition to that the author lists the data during the recent years to make sure the correctness and rigor of the article. The article will use China as the experimental subject, in order to analyze the current situation of the service trade markets. The reason why the passage would like to study this question is attributed to that there are some faults in the service trade market. For example, the unreasonable planning, the misuse of the staff. The article found that there is the shortage of relevant talents, and the service trade has a negative correlation between itself and the other trades. As a result, the service trade markets will learn about the detailed issue, so that the people in the service trade industry will take the appropriate measures to promote the development of service trade industry. Since many of the service trade companies will face certain kinds of the problems, so the passage aims to provide some reliable method to help the companies avoiding the problems.
