The correct response is: Consistent results support the validity of the model, while inconsistent results indicate the need to modify the model.
This accurately describes how experiments can affect a scientific model: consistent results reinforce the model's credibility, whereas discrepancies suggest that the model may need adjustments to better explain the observed phenomena.