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What is Pearson Correlation Coefficient Explained about?
The Pearson correlation coefficient (PCC) measures the linear correlation between two data sets, ranging from -1 to 1, with 0 indicating no linear relationship. Developed by Karl Pearson, it is defined as the covariance of the variables divided by the product of their standard deviations, and can be applied to both populations and samples. The coefficient is widely used in statistics for hypothesis testing and confidence interval estimation, but it is limited to linear relationships and may not reflect othe
- Author
- Mahmoud Ali
- Language
- EN