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
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): ...