The t-statistic, also known as the t-score, for the correlation coefficient is a measure of how statistically significant the correlation coefficient is. It's calculated by dividing the correlation coefficient by its standard error.

The formula for calculating the t-statistic for a correlation coefficient is:

t = r * √((n-2)/(1-r^2))

where:

  • t is the t-statistic
  • r is the correlation coefficient
  • n is the number of observations

The t-statistic is used to determine whether the correlation coefficient is significantly different from zero. If the absolute value of the t-statistic is greater than the critical value for a given level of significance, the correlation coefficient is considered statistically significant.


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