This is like any regression. Substitute the predictor values of interest in the prediction equation. This gives you the predicted logit values and then transform to the units of interest. A full discussion is given in the attached screenshot. I wouldn't be surprised to learn that further searching would give an online calculator. Best wishes David Booth

In fact here's the calculator. See the screenshot attached. Best wishes David Booth

Hi Prof. David Eugene Booth ,

Thank you very much for such a helpful reply. I will read the shared content.

Thanks again

You can use

model.predict_proba(x_test) to get the probability values if using the sklearn library.

As far as I know, the y value is that probability.

This problem is obviously best modeled with "New Square Method"

http://www.eaihua.com/drs-e.html

http://www.eaihua.com/drs/new-cne.htm