Syntax. FISHER(x)

Definition. This function returns the Fisher transformation for x. This transformation produces a function that is normally distributed with a skewness of about 0. Use this function to test the hypothesis for the correlation coefficient.


  • x (required). The numeric value you want to transform


If x isn’t a numeric value, the FISHER() function returns the #VALUE! error. If x is less than or equal to –1, or greater than or equal to 1, the FISHER() function returns the #NUM! error.

Background. Whereas the regression describes the type and covariance of the correlation between two characteristics, the correlation is the term for their relation.

The following provides an overview of the product-moment correlation (Pearson): ...

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