In Logistic Regression, Wald Chi-Square is used to assess whether a variable is statistically significant or not.
 |
Logistic Regression : Wald Chi-Square |
Wald Chi-Square = Square of (Coefficient Estimate / Standard Error)
Important Note :
- In SAS, PROC LOGISTIC returns Wald Chi-Square value by default.
- In R, glm package for logistic regression returns z-statistics. We need to take square of z-statistics to calculate wald chi-square.
Related Posts
About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.
I got answer from here easily
ReplyDeletePutting output product of SPSS may improve many question arouse of students