SAS Statistical Business Analysis Using SAS 9: Regression and Modeling

Here you have the best SAS Institute A00-240 practice exam questions

You have 97 total questions to study from
Each page has 5 questions, making a total of 20 pages
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This questions were last updated on October 12, 2025
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Question 1 of 97

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

The sample means from the validation data set are applied to the training and test data sets.

The sample means from the training data set are applied to the validation and test data sets.

The sample means from the test data set are applied to the training and validation data sets.

The sample means from each partition of the data are applied to their own partition.

Correct Answer: B

The sample means from the training data set are applied to the validation and test data sets. This is to ensure that the imputation strategy appropriately reflects the training data, which is the basis for model learning. Applying the mean imputation from the training set to the validation and test sets avoids data leakage and ensures a fair assessment of the model performance on unseen data.

Question 2 of 97

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
Exam A00-240: Question 2 - Image 1

Option A

Option B

Option C

Option D

Correct Answer: C

Question 3 of 97

Refer to the lift chart:
Exam A00-240: Question 3 - Image 1

At a depth of 0.1, Lift = 3.14. What does this mean?

Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.

Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.

Correct Answer: A

Question 4 of 97

Refer to the lift chart:
Exam A00-240: Question 4 - Image 1

What does the reference line at lift = 1 corresponds to?

The predicted lift for the best 50% of validation data cases

The predicted lift if the entire population is scored as event cases

The predicted lift if none of the population are scored as event cases

The predicted lift if 50% of the population are randomly scored as event cases

Correct Answer: B

Question 5 of 97

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than
0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).
The following SAS program was used.
Exam A00-240: Question 5 - Image 1

What does this program calculate?

Depth

Sensitivity

Specificity

Positive predictive value

Correct Answer: B