Correlation coefficient calculator

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Pearson / Spearman correlation calculator

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Correlation coefficient Pearson correlation r = Sz_xz_y / N is frequently used to test whether two variables have linear relationships. Here z_x = (X-m)/s_x, z_y = (Y-m)/s_y and N is the sample size. Sperman rank correlation is an alternative to Pearson correlation when the relationship is not linear. For example, the data shown below has a perfect Sperman rank correlation (r = -1, p < 0.05) but an insignificant Pearson correlation (r = -0.85 to 0.13, p > 0.05 ). X Y 0 0.415616974 5 0.006357108 10 5.12865E-06 15 1.99272E-07 20 1.72342E-09 25 1.37486E-11 30 6.19116E-14 35 5.9692E-16 40 4.14682E-18 45 1.4239E-20 50 9.20835E-23 Note Pearson correlation will be significant if Y is in the log scale. What is a USB Flash Disk?

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