基于SPSS国内某男西装数据库变量的相关分析

对国内某知名服装企业男西装推板优化,就要对国内某知名服装企业男西装数据库中6个主要的变量进行数据观测,即研究多维随机变量的分布、数字特征、变量之间的依赖关系及有关的统计特性.如果用一元统计方法,则势必要把多个变量分开分析,1次处理1个变量.由于这种方法忽视了诸变量之间可能存在着的相关性,因此,一般说来,丢失信息太多,这样所得分析结果不太可靠.另一种方法就是因子分析方法,它同时对多个变量的观测数据进行分析.这样的分析对诸变量之间的关系、相依性和相对重要性等都提供了重要信息,通过SPSS多元分析法对国内某知名服装企业男西装数据库变量分析,找出起主要贡献的因素.

Database Variable Correlation Analysis of a Domestic Male Suit Based on SPSS

In a well-known domestic garment enterprises to suit the push plate optimization, to ob- servation data of six main variables of a well-known domestic garment enterprises to suit the database, distribution, digital feature, variable is the study of multidimensional random variable depend- encies and relevant statistical characteristics. If one element statistical method, is bound to the vari- ables of a separate analysis, a deal with a variable. Because this method ignores the correlation be- tween variables may exist, therefore, generally speaking, the loss of too much information, so the re- suits less reliable. The other method is the method of factor analysis, it simultaneously observed data of multiple variable analysis. This analysis, the dependent relationship between variables and the relative importance of all provide important information, through the SPSS multivariate analysis of a well-known domestic garment enterprises to suit the database variables analysis, finds out the factors play a major contribution.