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====== 一元线性回归效应量 ======
===== The effect size of univariate linear regression =====


  - 一元回归分析常用效应量为**复相关系数R<sup>2</sup>**，它表明了回归方程对因变量的解释能力。\\A commonly used effect size for univariate regression analysis is ** the compound correlation coefficient R<sup>2</sup>**, which indicates the ability of the regression equation to explain the dependent variable.\\
  - R<sup>2</sup>公式：{{ ::一元线性回归效应量-1.png?200 |}}\\ 或者{{ ::一元线性回归效应量-2.png?150 |}}
  - 复相关效应量会过高估计自变量对因变量解释能力，现在常用**校正复相关系数R<sup>2</sup><sub>adj</sub>**作为效应量。\\Complex correlation effect sizes can overestimate the ability of the independent variable to explain the dependent variable, and it is now common to use **Calibrated Complex Correlation CoefficientR<sup>2</sup><sub>adj</sub>** corrected complex correlation coefficients as effect sizes.
  - R<sup>2</sup><sub>adj</sub>公式：{{ ::校正复相关系数.png?200 |}}