Question: Why might someone consider using Spearman's correlation coefficient instea of Pearson's correlation coefficient? Spearman's correlation coefficient is more sensitive to outliers. Spearman's correlation coefficient is

Why might someone consider using Spearman's correlation coefficient instea of Pearson's correlation coefficient? Spearman's correlation coefficient is more sensitive to outliers. Spearman's correlation coefficient is better suited for normally distributed data. Spearman's correlation fficient is less affected by heteroscedasticity . Spearman's correlation coefficient provides a more accurate measure of linear relationships . Spearman's correlation coefficient is more robust to outliers

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