变量相关分析常用方法
我爱计算机 变量间相关性分析是日常数据分析和挖掘经常用到的一种技术，本表格汇总了不同类型变量进行相关性分析时所用到的方法。如pearson系数适合两个连续型变量，Spearman适合两个ordinal变量，Phi适合两个离散型变量等等。参考链接：https://www.slideshare.net/mpazhou/statistics-for-interpreting-test-scores-6251947
| Types of Correlation Coefficients | ||
| Correlation Coefficient | Types of Scales | |
| Pearson product-moment | Both scales interval (or ratio) | |
| Spearman rank-order | Both scales ordinal | |
| Phi | Both scales are naturally dichotomous (nominal) | |
| Tetrachoric | Both scales are artificially dichotomous (nominal) | |
| Point-biserial | One scale naturally dichotomous (nominal), one scale interval (or ratio) | |
| Biserial | One scale artificially dichotomous (nominal), one scale interval (or ratio) | |
| Gamma | One scale nominal, one scale ordinal | |
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