A00-240 Free Practice Test

What is the default method in the LOGISTIC procedure to handle observations with missing data?

1. A. Missing values are imputed.
2. B. Parameters are estimated accounting for the missing values.
3. C. Parameter estimates are made on all available data.
4. D. Only cases with variables that are fully populated are used.

Correct Answer: D

A predictive model uses a data set that has several variables with missing values. What two problems can arise with this model? (Choose two.)

1. A. The model will likely be overfit.
2. B. There will be a high rate of collinearity among input variables.
3. C. Complete case analysis means that fewer observations will be used in the model building process.
4. D. New cases with missing values on input variables cannot be scored without extra data processing.

Correct Answer: CD

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

1. A. Use the SCORE statement in the LOGISTIC procedure.
2. B. Augment the training data set with new observations and set their responses to missing.
3. C. Augment the training data set with new observations and rerun the LOGISTIC procedure.
4. D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.

Correct Answer: C

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

1. A. Simple random sampling without replacement
2. B. Simple random sampling with replacement
3. C. Stratified random sampling without replacement
4. D. Sequential random sampling with replacement

Correct Answer: AC

Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.

1. A. 25/48
2. B. 58/102
3. C. 25/B9
4. D. 58/81

Correct Answer: A