correlatintest

[ranamanish674zu]

Description

Pearson Correlation Coefficient (r) measures the linear relationship between two continuous variables. It ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 1 indicates a perfect positive linear relationship, and 0 indicates no linear relationship. Pearson's correlation assumes that the data are normally distributed and have a linear relationship with homoscedasticity (constant variance of the error terms). Spearman's Rank Correlation Coefficient (ρ or rs) measures the strength and direction of the monotonic relationship between two variables, which can be ordinal, interval, or continuous. It is based on the ranks of the data rather than the raw data itself and ranges from -1 to 1, with the same interpretation as Pearson's correlation. Spearman's correlation does not assume normal distribution or linearity and is used when data are not normally distributed or when the relationship is not linear. Fixes #439

Checklist:

• [+ ] My code follows the style guidelines of this project
• [ +] I have performed a self-review of my own code
• [ +] I have commented my code, particularly in hard-to-understand areas
• [ +] I have made corresponding changes to the documentation
• [ +] My changes generate no new warnings issue #439 fixes

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