%0 Journal Article
%T 基于岭回归和LASSO回归的济南市旅游收入影响因素分析<br>Analysis of the Influencing Factors of Tourism Income in Jinan Based on Ridge Re-gression and LASSO Regression
%A 申小桐
%A 牟唯嫣
%A 王欣
%J Advances in Applied Mathematics
%P 5702-5714
%@ 2324-8009
%D 2022
%I Hans Publishing
%R 10.12677/AAM.2022.118602
%X 本文研究了影响济南市旅游业发展的因素，选取了济南市2005~2019年间的旅游指标数据，通过建立多元线性回归模型得出结论，在研究方法上面对常用的回归方法——最小二乘回归，岭回归和Lasso回归进行比较研究，最终选择最合适本文数据的Lasso回归并利用R语言进行变量筛选和选择建立模型。最后研究结果表明，影响济南市旅游业发展的重要因素是济南市社会消费品零售总额和济南市绿地面积，根据研究结果分析并提出相应的建议。<br />
This paper studies the factors affecting the development of tourism in Jinan. In this paper, we select the tourism index data of Jinan city from 2005 to 2019, and conclude by establishing a multiple linear regression model. Above the study methods, least squares regression, ridge regression and Lasso regression were compared. Finally, the Lasso regression is the most suitable model in this paper. Finally, the research results show that the important factors affecting the development of tourism in Jinan are the total retail sales of social consumer goods in Jinan city and the green space area in Jinan city. Analysis and corresponding suggestions are put forward according to the research results.
%K 济南市旅游总收入，影响旅游总收入的因素，旅游业的发展，多元线性回归模型，最小二乘回归，
岭回归，Lasso回归，R语言
<br>Total Tourism Revenue In Jinan
%K Total Tourism Revenue Influencing Factors
%K Tourism Development
%K Multiple Linear Regression Model
%K Least Squares Regression
%K Ridge Regression
%K Lasso Regression
%K R Language
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=54848