In Logistic Regression, Wald ChiSquare is used to assess whether a variable is statistically significant or not.

Logistic Regression : Wald ChiSquare 
Wald ChiSquare = Square of (Coefficient Estimate / Standard Error)
Important Note :
 In SAS, PROC LOGISTIC returns Wald ChiSquare value by default.
 In R, glm package for logistic regression returns zstatistics. We need to take square of zstatistics to calculate wald chisquare.
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