One question about the interpretation of regressors and their coefficients in multiple regression models. Supposing that I have the following logistic regression

Y = a + b1height + b2weight + e

where y is either 1 = male or 0 = female h is height g is weight

and I estimate my parameters to be:

Y = 0.1 + 0.25height + 0.45weight + e

Now I want to estimate the probability of my observation 'i' with height 175 cm and weight 82 kilos - how would I exactly go about it?

I understand I cannot just plug in my number because the coefficients are interpreted as the change of Y based on the change of 1 unit of X keeping all the other controls constant. Is there another way to go about it?

Thanks!