Logistic Regression - Normalization does not change Attribute Weights

Hello,

I am new here and in general with statistics and data mining. Apologies if I am asking a really stupid question. 

My question is about logistic regression and normalizing data. I have a data set with some columns skewed and have different scales. So I wanted to apply normalization (including centering, scaling and Box Cox transformation for skewness) prior to logistic regression. But instead I wanted to check to what extent normalization changes the results. 

I see that normalization prior to logistic regression changes the coefficients however attribute weights are exactly same with and without normalization. Am I missing something here?

Attached you can find my design for the analysis. (Logistic Regression and Normalization added with default settings)