一元线性回归的效应量
差别
| 后一修订版 | 前一修订版 |
| 一元线性回归的效应量 [2023/04/10 13:02] – 创建 空白不灭 | 一元线性回归的效应量 [2024/04/19 10:28] (当前版本) – [The effect size of univariate linear regression] caomingsu |
|---|
| ====== 一元线性回归效应量 ====== | ====== 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 |}} |
一元线性回归的效应量.1681131768.txt.gz · 最后更改: 2023/04/10 13:02 由 空白不灭
