A response $y$ has been measured using 25 electronic devices.
For 8 of them, the response was heavily flawed. It was usually equal to a third of the response measured from the other devices.
So, I removed them and did my main analysis. I then thought, could I use the data from the other 8 responses (i.e., the covariates), and use them to predict new data, and then I would take a third of that data, and compare with the responses from the 8 devices I actually got?
If that's a good fit, then that would seem to confirm the hypothesis that the 8 devices give responses equal to a third of the "actual" response (assuming our model is correct)?
Is this a good idea?