首页> 外国专利> METHOD FOR OBTAINING REGRESSION RELATIONSHIPS BETWEEN DEPENDENT VARIABLES AND INDEPENDENT VARIABLES DURING DATA ANALYSIS

METHOD FOR OBTAINING REGRESSION RELATIONSHIPS BETWEEN DEPENDENT VARIABLES AND INDEPENDENT VARIABLES DURING DATA ANALYSIS

机译:数据分析过程中依赖变量和独立变量之间的回归关系的获取方法

摘要

The present invention relates to the technical field of data analysis and processing, and in particular, to a method for obtaining regression relationships between dependent variables and independent variables during data analysis. The method of the present invention comprises: by analyzing dependent variables and a plurality of independent variables inputted by a user, standardizing data; then classifying the data to obtain similar data characteristics; selecting the independent variables from the similar data characteristics; by calling a related linear analysis algorithm, obtaining a causal relationship; comparing the result obtained from calculation and analysis with an actual resu analyzing optimal relationships between some independent variables and dependent variables; and finally, displaying optimal results to a user for final selection. The present invention resolves the problems in existing methods of being unable to perform discriminant analysis of data regions and being difficult to achieve accurate analysis efficiency. The method present invention can be used for obtaining regression relationship between dependent variables and independent variables.
机译:本发明涉及数据分析与处理技术领域,尤其涉及一种在数据分析过程中获得因变量与自变量之间的回归关系的方法。本发明的方法包括:通过分析用户输入的因变量和多个自变量,标准化数据;以及然后对数据进行分类以获得相似的数据特征;从相似的数据特征中选择自变量;通过调用相关的线性分析算法,得到因果关系;将计算和分析获得的结果与实际结果进行比较;分析一些自变量和因变量之间的最佳关系;最后,向用户显示最佳结果以进行最终选择。本发明解决了现有方法中不能对数据区域进行判别分析并且难以实现准确的分析效率的问题。本发明的方法可以用于获得因变量和自变量之间的回归关系。

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