For a test to have good predictive validity, it must effectively:

A test is considered to have good predictive validity when it successfully correlates with future outcomes or performance. This means that the results produced by the test can reliably indicate how an individual will perform in the future or in a related context. Predictive validity is especially important in various settings, such as educational assessments, employment tests, and psychological evaluations, where anticipating future success or behavior is crucial.

For example, a college entrance exam that accurately predicts students' academic performance in college demonstrates strong predictive validity because high scores would suggest success in higher education. This correspondence between test scores and actual future performance is what validates the test's effectiveness in predicting outcomes.

Other options, while they may be relevant in different contexts, do not specifically address predictive validity. Measures of participants' feelings about the test relate more to content validity and user experience. The format of past tests can inform consistency but is not indicative of how well the test predicts future performance. The number of questions may contribute to the test's reliability or comprehensiveness but does not directly influence its ability to foresee future results.