The z-scores (or t-statistics) of a model’s explanatory variables are equal to the coefficients divided by the standard errors. Under the null hypothesis, they are distributed according to a standard normal (or t) distribution. T-statistics are reported for linear models, and z-scores are reported for all other models.
To view the z-scores and t-statistics of explanatory variables in a model:
See also: