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 and in Spearman 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.

Topic spearmans-rank-correlation data-analysis pearsons-correlation-coefficient correlation

Category Data Science

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