Standardizing and bringing to a common scale, all the coefficients? Handling both negative and positive coefficients even after standardization? To explain with an example say with independent variable - var1, var2, var3 model has generated coefficient value of a,-b,c respectively So, to solve 1st part of question, I have scaled them by using partial standardization, agresti coefficients method and multiplied each coefficent value with standard deviation of the sample of that variable So say std1,std2,std3 are standard deviation of the three samples of var1,var2,var3 my transformed coefficients comes out to be -a

*std1 for var1,-b*std2 for var2, c*std3 for var3.

But now coming to part 2 of problem even after standardizing I have one coefficient that has negative value. I want to scale them in such a way that all the coefficients gets transformed to a positive value and at same time have a common scale so that they can be processed and compared together. Can you please help if you know of possible way of handling this?