r - Interpretation when converting correlation of continuous data to Cohen's d - Cross Validated
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A popular textbook on meta-analysis (1) discusses how to convert a correlation, $r$, to Cohen's $d$ (i.e., the standardized mean difference): I became confused about how to interpret the resulting
R Handbook: Correlation and Linear Regression
Pearson correlation coefficient - Wikipedia
Pearson correlation coefficient - Wikipedia
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regression - Is this a correct interpretation of the r correlation coefficient - Cross Validated
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Diagnostics, Free Full-Text
An overview of correlation measures between categorical and continuous variables, by Outside Two Standard Deviations
3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.4.1 documentation
3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.4.1 documentation
Chapter 48 Applying k-Fold Cross-Validation to Logistic Regression