SAS Institute A00-240 Exam Questions

Question 6 of 100

Refer to the lift chart:
Exam A00-240: Question 6 - Image 1

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

A.

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%.

B.

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%.

C.

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%.

D.

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%.

Question 7 of 100

Refer to the lift chart:
Exam A00-240: Question 7 - Image 1

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

A.

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

B.

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

C.

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

D.

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

Question 8 of 100

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 8 - Image 1

What does this program calculate?

A.

Depth

B.

Sensitivity

C.

Specificity

D.

Positive predictive value

Question 9 of 100

Refer to the exhibit:
Exam A00-240: Question 9 - Image 1

The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?

A.

Model A. It is more complex with a higher accuracy than model B on training data.

B.

Model A. It performs better on the boundary for the training data.

C.

Model B. It is more complex with a higher accuracy than model A on validation data.

D.

Model B. It is simpler with a higher accuracy than model A on validation data.

Question 10 of 100

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?
Exam A00-240: Question 10 - Image 1

A.

Option A

B.

Option B

C.

Option C

D.

Option D