File Info
| Exam | SAS Statistical Business Analysis SAS9: Regression and Model |
| Number | A00-240 |
| File Name | SASInstitute.A00-240.Pass4Sure.2018-12-11.38q.vcex |
| Size | 2 MB |
| Posted | Dec 11, 2018 |
| Download | SASInstitute.A00-240.Pass4Sure.2018-12-11.38q.vcex |
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Demo Questions
Question 1
Refer to the lift chart:
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 2
Refer to the lift chart:
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 3
Refer to the exhibit:
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?
- Model A. It is more complex with a higher accuracy than model B on training data.
- Model A. It performs better on the boundary for the training data.
- Model B. It is more complex with a higher accuracy than model A on validation data.
- Model B. It is simpler with a higher accuracy than model A on validation data.
Correct answer: D
Question 4
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?
Correct answer: A
Explanation:
Question 5
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- Training: 50% Validation: 0% Testing: 50%
- Training: 100% Validation: 0% Testing: 0%
- Training: 0% Validation: 100% Testing: 0%
- Training: 50% Validation: 50% Testing: 0%
Correct answer: D
Question 6
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
Correct answer: C
Explanation:
Question 7
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
- Sensitivity and PV+
- Specificity and PV-
- PV+ and PV-
- Sensitivity and Specificity
Correct answer: D
Question 8
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
- X=40, Y=10
- X=.05, Y=10
- X=.05, Y=.40
- X=.10.Y=05
Correct answer: B
Question 9
Refer to the confusion matrix:
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)
Click the calculator button to display a calculator if needed.
- 25/48
- 58/102
- 25/B9
- 58/81
Correct answer: A
Question 10
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?
- Training data
- Total data
- Test data
- Validation data
Correct answer: D
