The best description is: Consistent results support the validity of the model, while inconsistent results indicate the need to modify the model.
This statement reflects the scientific process, where models are refined and adjusted based on experimental evidence. Consistent findings generally reinforce the model's accuracy, while discrepancies prompt further investigation and potential modifications to the model.