What does it mean for a prediction to be "testable"

a. The model can predict any outcome.

b. The model is not oversimplified.

c. It's possible to show the model is wrong.

d. The model relies on data

c

Step-by-step explanation:

In order to have prediction you need a model or a hypothesis. This model must be able to predict a hypothesis or prediction in theory. The hypothesis or prediction must be tested. If its testable it means the model can predict if the hypothesis or prediction if true or false. This means the any outcome is possible if the model can predict an outcome. A testable prediction can only be verified through an experiment.

All predictions should be testable, meaning it should be possible to design an experiment that would determine if the prediction is true of false. If the prediction is flawed you must make adjustments to your predictions in order for the model to work.

Therefore the model can predict any outcome because in order for the prediction to testable it must yield a result.