Let r be the correlation coefficient of a sample of n (x,y) observations. Then the statistic t = r sqrt(n-2) / sqrt(1-r^2) is computed. It is compared with a t-distribution critical value with n-1 degrees of freedom. If the calculated t value exceeds the critical t value, the correlation coefficient is considered significantly different from 0.
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