When making passive predictions, it is not important to be able conclude that:
A) your estimate of the coefficients is a consistent estimate.
B) your estimate describes a causal relationship between treatments and the outcome.
C) your estimates can be evaluated against a range of null hypothesis.
D) you are using a random sample of the target population.

Question

Quizplus · Accepted Answer

When making passive predictions, it is not important to be able to conclude that your estimate describes a causal relationship between treatments and the outcome. Passive predictions simply involve identifying patterns in data and making predictions based on those patterns, without necessarily understanding or interpreting the underlying causal relationships. The other options - consistency of estimates, evaluation against null hypotheses, and use of random samples - are all important considerations when making passive predictions.

When Making Passive Predictions, It Is Not Important to Be