Analysis of Song Yun Culture Support Based on Binary Logistic Model
Lingcheng Xu
Zheshuo Zhao
Huihong Lu
Yu Sun
DOI: https://doi.org/10.59429/pmcs.v5i4.1190
Keywords: Binary Logistic Model; Song Rhyme Culture; Support Analysis; Hangzhou Citizens
Abstract
As an ancient capital of the Southern Song Dynasty, Hangzhou has a responsibility to further inherit the Song culture and promote China's excellent traditional culture. Through a binary logistic model, we found that age, cultural level, region, and occupation all affect the support of Hangzhou citizens for Song rhyme culture. At the same time, we found that the more Hangzhou citizens participated in cultural activities related to the Southern Song Dynasty, the lower their support for the culture of the Southern Song Dynasty.
References
Pan X. Sensitivity analysis of sand liquefaction indicators based on binary logistic regression model [J]. Safety and Environmental Engineering, 2015, 22 (03): 158-161 +168. (In Chinese)
Fan CL, Ding Q. Improved Algorithm and Performance Analysis Based on Logistic Chaotic Sequences [J]. Electronic Devices, 2015,38 (04): 759-763. (In Chinese)
Hu LP, Shen N, Liu WW. Statistical analysis of high-dimensional contingency table data using SAS software: multiple logistic regression analysis with binary dependent variables [J]. Pharmaceutical Services and Research, 2014,14 (01): 6-10. (In Chinese)
Wang CJ, Qi SX, Luo LL, Wang SY. Analysis of anesthesia usage in clinical open surgery based on logistic regression model [J]. Journal of Jilin Normal University (Natural Science Edition), 2019,40 (02): 45-52. (In Chinese)