What is the correct way to use linear regression with original dataset if it was trained on the normalized one?

Question

My task was to create a linear regression on the z-score normalized data set, where

So this is my result

Then I tried to use normalized weights on the original dataset but faced some difficulties:

So my question is how can this be fixed? My closest attempt was to use such scaling:

Answer 1

After some searching, I've found this discussion:

Rescaling after feature scaling, linear regression