本文不仅对于复杂的统计计算通过常用的计算机应用软件SPSS来实现，同时

本文不仅对于复杂的统计计算通过常用的计算机应用软件SPSS来实现，同时通过对数据的实证分析，来研究统计学中回归分析中的logistic回归，让大家对统计学中的多元回归分析中模型的选取以及变量的选取和操作方法有更深层次的了解. 数据是客户的年龄、教育水平、工龄、 居住年限、家庭收入等变量对客户是否拖欠贷款具有影响的研究. 本文通过一个实证从不同程度上对非线性回归模型和变量选取的研究运用通俗的语言和浅显的描述将SPSS在多元回归分析中的统计分析方法呈现在大家面前，让大家对多元回归分析以及SPSS软件都可以有更深一步的了解. 通过SPSS软件对数据进行分析，对数据进行处理的方法进行总结，找出SPSS对于数据处理和分析的优缺点，最后得在对变量的选取和软件的操作提出建议。

In this paper, not only for complex statistical calculations through the commonly used computer application software SPSS to achieve, but also through the empirical analysis of data, to study the regression of regression in statistical regression analysis, Let us have a deeper understanding of the selection of models in the multiregression analysis of statistics and the selection and operation of variables. Data is a study of whether the customer's age, education level, working age, length of residence, family income and other variables have an effect on whether the customer is in default on the loan. Through an empirical study of nonlinear regression models and variable selection, this paper presents the statistical analysis method of SPSS in multi-regression analysis to everyone through an empirical basis, so that we can have a deeper understanding of the multi-regression analysis and SPSS software. Through SPSS software, the data is analyzed, the methodof processing of the data is summarized, the advantages and disadvantages of SPSS for data processing and analysis are found, and finally, it is necessary to make suggestions on the selection of variables and the operation of the software.

In this paper, not only for the complex statistical calculation through the commonly used computer application software SPSS, but also through the empirical analysis of data, to study the logistic regression in the regression analysis of statistics, so that we can have a deeper understanding of the model selection, variable selection and operation methods in the multivariate regression analysis of statistics The data is a study on the influence of age, education level, working age, living years, family income and other variables on customers' default on loans This paper presents the statistical analysis method of SPSS in multiple regression analysis through an empirical study of nonlinear regression model and variable selection in different degrees with popular language and simple description, so that you can have a deeper understanding of multiple regression analysis and SPSS software Through SPSS software to analyze the data, summarize the methods of data processing, find out the advantages and disadvantages of SPSS for data processing and analysis, and finally put forward suggestions on the selection of variables and the operation of software.