Topic: Functional Application Of Correlation Applying R And Analyzing The Pearson and Spearman Correlation Coefficients

Correlation is a statistical quantity that tells us about the association connecting the two variables. It explains how one variable functions if there is some fluctuation in the other variable.

In my most recent article, I demonstrate the practical application of correlation by comparing two separate correlation coefficients, i.e. Pearson correlation coefficient and Spearman correlation coefficient, and discern whether they will proffer the equivalent strength or deviation.

Correlation is significant in Statistics and Data Science to measure the relationship between test scores and other performance measures. With the help of correlation, it is possible to have a correct idea of the working capacity of an ML Model. With that, I encourage you to read my article and gain some knowledge from it.

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