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Question 1:
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?
A. The sample means from the validation data set are applied to the training and test data sets.
B. The sample means from the training data set are applied to the validation and test data sets.
C. The sample means from the test data set are applied to the training and validation data sets.
D. The sample means from each partition of the data are applied to their own partition.
Correct Answer: B
Question 2:
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?
A. Scoredata=valid1 out=roc;
B. Scoredata=valid1 outroc=roc;
C. mode1resp(event= \’1\’) = gender region/outroc=roc;
D. mode1resp(event”1″) = gender region/ out=roc;
Correct Answer: B
Question 3:
Refer to the lift chart:
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 timesgreater accuracy than a random draw of 10%.
D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.
Correct Answer: A
Question 4:
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.
What does this program calculate?
A. Depth
B. Sensitivity
C. Specificity
D. Positive predictive value
Correct Answer: B
Question 5:
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?
A. Option A
B. Option B
C. Option C
D. Option D
Correct Answer: A
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Question 6:
A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?
A. Sensitivity and PV
B. Specificity and PV
C. PV and PV
D. Sensitivity and Specificity
Correct Answer: D
Question 7:
An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.
What is the purpose of the test data set?
A. To provide a unbiased measure of assessment for the final model.
B. To compare models and select and fine-tune the final model.
C. To reduce total sample size to make computations more efficient.
D. To build the predictive models.
Correct Answer: A
Question 8:
Refer to the confusion matrix:
Calculate the sensitivity. (0 – negative outcome, 1 – positive outcome)
Click the calculator button to display a calculator if needed.
A. 25/48
B. 58/102
C. 25/B9
D. 58/81
Correct Answer: A
Question 9:
A company has branch offices in eight regions. Customers within each region are classified as either “High Value” or “Medium Value” and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
A. More high value customers are found in some regions than others.
B. The difference between average purchases for medium and high value customers depends on the region.
C. Regions with higher average purchases have more high value customers.
D. Regions with higher average purchases have more medium value customers.
Correct Answer: B
Question 10:
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / =levene;
A. test
B. adjust
C. var
D. hovtest
Correct Answer: D
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