Prediction and Evaluation Method of e-Commerce Service Satisfaction Based on Intelligent Computing Method

Table 3

Stepwise regression analysis results of the service satisfaction prediction model.

Secondary indicators	Analysis results
	Correlation coefficient	value	Salience
After-sales service	0.273	0.03	Significant
Reputation	0.028	0.105	Not obvious
Customer service	0.309	0.0169	Not obvious
Logistic speed	0.021	0.0298	Not obvious
Safety	0.0294	0.0076	Not obvious
Service attitude	0.243	0.0243	Not obvious
Logistic price	0.225	0.0345	Not obvious
Fitting results	Intercept = 1.154	= 0.9996