Dear community!
I use probit regression to analyse probability of public attitudes (0 - 4). One of my key control variables is a social class, which is measured in 5 categories.
I want to analyse which social class category expresses greatest attitudes, thus I apply i.social_class command in my regression to see the effect of each category on my Y-variable. (Is it a correct way, right?)
The main thing I want to focus on is to measure predicted probability of Y-variable outcome on each of my X-variable (social class) category. I couldn't find a proper explanation in Syntax and in the internet.

Could you advise me please on this topic?

Kind regards,
John