目的 运用多元回归分析法，利用专业的统计分析软件SPSS对水性凹印油墨在聚乙烯薄膜（PE）上的附着力影响因素进行深入分析。方法 选择丙烯酸树脂溶液、醇类、润湿剂、偶联剂加入量、颜基比作为自变量指标，水性凹印油墨在聚乙烯薄膜（PE）上的附着力强度为因变量指标，建立数学模型，设计样本变量值并测试其在聚乙烯薄膜（PE）上的附着力强度；利用SPSS对样本数据进行统计分析得出以附着力强度为因变量的回归方程模型，并对该模型进行显著性有效性等检验；以模型为算法进行简单编程，使之成为了更为直观操作简便的窗口化应用程序，用户只需输入相应的参数值即可大致预测某一配方的附着力强度。结果 丙烯酸树脂溶液加入量、颜基比与附着力强度的关系为负相关，而醇类加入量、润湿剂加入量、偶联剂加入量与附着力强度则是正相关；丙烯酸树脂溶液对附着力强度的影响较大，其次是颜基比，再次是醇类的加入量，而偶联剂对其影响不大。结论 基于回归分析法所得的水性凹印油墨的附着力影响因素的模型对于附着力强度具有较好的预测效果。

The work aims to carry out an in-depth analysis on the factors that affect the adhesion of the water-based gravure ink on polyethylene (PE) film with multiple regression analysis and professional statistical analysis software SPSS. With the quantities added of acrylic resin solution, alcohol, wetting agent and coupling agent, and the pigment/binder ratio as independent variable indicators while the adhesion quality of water-based gravure ink as dependent variable, a mathematical model was built, sample variable values were designed and its adhesion on PE film was tested. Then the regression equation model was obtained with adhesion strength as the dependent variable through the statistical analysis on the sample data carried out with SPSS. The mode’s distinctiveness and validity were tested. A simple program was made with the model as the algorithm, which allowed the model to become a direct and easy-to-use window application. The users only had to enter relevant parameters to predict the adhesion strength of a certain formula. The quantity added of acrylic resin solution and pigment/binder ratio had a negative correlation with the adhesion strength, while the quantity added of alcohol, wetting agent and coupling agent had a positive correlation with the adhesion strength. Acrylic resin solution had a relatively great influence on the adhesion strength, followed by pigment/binder ratio and then the quantity added of alcohol; however, the coupling agent had little influence on it. The model obtained through regression analysis method for the factors that affect the adhesion of water-based gravure ink can better predict the adhesion strength.