# Correlation analysis yields conflicting results. Positive Pearson and Negative Spearman

I have four features x1,x2,x3,x4. All of their correlation with y are similar in Pearson correlation and in Spearman rank correlation separately. However, all these are +0.15 in Pearson and -0.6 in Spearman, more or less. Does this make sense? How can I interpret this result? All four features and target are definitely related. From a common sense perspective, the sign of Spearman is more accurate as well.

• The features appear to reflect same trait and are equivalent if you want to model impact or association with y. Further, Spearman correlation is a measure of association(positive or negative). Pearson coefficient generates a coefficient that reflects linearity of the relationship between x feature and y assuming a linear equation for the relationship i.e y = a+ bX. Commented Feb 27, 2023 at 13:41
• Have you looked at the plots? (Can you post those plots?)
– Dave
Commented Mar 8, 2023 at 12:41