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任何事物之间都存在着不同类型、不同程度的关联,分析事物之间按什么关系关联、关联程度多大,对问题的研究至关重要.研究两个事物之间是否有关联以及关联程度如何,必须明确以何种关系为研究前提.经典的数理统计理论为线性关联分析提供了有力的依据,但此种方法主要是检验变量之间的线性关联程度,对于变量之间其他关系的检验,应该根据问题的实际需要采用相应的关联分析方法.在比较数据组之间速率变化趋势的基础上得到了速率关联分析法,并以分析城镇居民各项支出与人均工资总收入之间的速率关联程度为例,说明了速率关联分析法的应用.
There are different types and degrees of association between any things, and it is very important to analyze the relationship between things according to what relationship and the degree of correlation.It is necessary to study whether there is a correlation between two things, Must be clear about the relationship between the premise of the study.The classical theory of mathematical statistics for the linear correlation analysis provides a strong basis, but this method is mainly to test the linear relationship between variables, the relationship between variables for the test should be According to the actual needs of the problem, a corresponding correlation analysis method is adopted, and the rate-related analysis method is obtained on the basis of comparing the trend of the rate of change among data sets, and the analysis is made on the rate-related degree between various expenditures of urban residents and the total income per capita As an example, illustrates the application of rate-related analysis.