Correlation Coefficients
Correlation coefficients are statistical measures that indicate the extent to which two or more variables are related. In data science, correlation coefficients are used to determine the strength and direction of the relationship between two or more variables. The most commonly used correlation coefficient is the Pearson correlation coefficient, which measures the linear relationship between two variables. Other correlation coefficients include the Spearman correlation coefficient, which measures the monotonic relationship between two variables, and the Kendall correlation coefficient, which measures the ordinal relationship between two variables. Correlation coefficients range from -1 to 1, with -1 indicating a perfect negative correlation, 0 indicating no correlation, and 1 indicating a perfect positive correlation.
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