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@ranamanish674zu ranamanish674zu commented Jun 27, 2024

PR Description

fixes #1299
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.

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  • [+ ] I have gone through the contributing guide
  • [ +] I have updated my branch and synced it with project main branch before making this PR

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I declare that:

  1. The content I am submitting is original and has not been plagiarized.
  2. No portion of the work has been copied from any other source without proper attribution.
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@ranamanish674zu
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@animator could you please review it

@ashitaprasad
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Only markdown file is allowed

@ranamanish674zu
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Only markdown file is allowed

@ashitaprasad are you talking about readme.md file ? if then can you please open this issue , i can make markdown file for it ?

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