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Question ID 20219

Which method is NOT an appropriate way to score new observations with a known target in a logistic
regression model?

Option A

Use the SCORE statement in the LOGISTIC procedure.

Option B

Augment the training data set with new observations and set their responses to missing.

Option C

Augment the training data set with new observations and rerun the LOGISTIC procedure.

Option D

Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the
SCORE procedure.

Correct Answer C
Explanation


Question ID 20220

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that
disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?

Option A

All parameter estimates are biased.

Option B

Only the intercept estimate is biased.

Option C

Only the non-intercept parameter estimates are biased.

Option D

Sensitivity estimates are biased.

Correct Answer B
Explanation

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