NEW QUESTION 1
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

Answer: B

NEW QUESTION 2
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 / <insert option here> =levene;

• A. test
• B. adjust
• C. var
• D. hovtest

Answer: D

NEW QUESTION 3
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

Answer: A

NEW QUESTION 4
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

Answer: D

NEW QUESTION 5
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.

Answer: B

NEW QUESTION 6
A predictive model uses a data set that has several variables with missing values. What two problems can arise with this model? (Choose two.)

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

Answer: CD

NEW QUESTION 7
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst
wants to combine stores and treat them as members of the same class level. What are the two most effective ways to address the problem? (Choose two.)

• A. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
• B. Cluster by using Greenacre's method to combine stores that are similar.
• C. Use subject matter expertise to combine stores that are similar.
• D. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.

Answer: BC

NEW QUESTION 8
Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

• A. All groups are significantly different from each other.
• B. 2XL is significantly different from all other groups.
• C. Only XL and 2XL are not significantly different from each other.
• D. No groups are significantly different from each other.

Answer: C

NEW QUESTION 9
Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

• A. The odds of the event are 1.142 greater for each one dollar increase in salary.
• B. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
• C. The probability of the event is 1.142 greater for each one dollar increase in salary.
• D. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.

Answer: B

NEW QUESTION 10
Refer to the lift chart:

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

Answer: B

NEW QUESTION 11
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

• A. Simple random sampling without replacement
• B. Simple random sampling with replacement
• C. Stratified random sampling without replacement
• D. Sequential random sampling with replacement

Answer: AC

NEW QUESTION 12
Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?

• A. R-Square
• B. Coeff Var
• C. Adj R-Sq
• D. Error DF

Answer: C

NEW QUESTION 13
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?

• A. Model
• B. It is more complex with a higher accuracy than model B on training data.
• C. Model
• D. It performs better on the boundary for the training data.
• E. Model
• F. It is more complex with a higher accuracy than model A on validation data.
• G. Model
• H. It is simpler with a higher accuracy than model A on validation data.

Answer: D

NEW QUESTION 14
There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?

• A. GLM
• B. VARCLUS
• C. STDI2E
• D. CLUSTER

Answer: C

NEW QUESTION 15
A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC. Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: AB

NEW QUESTION 16
An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?

• A. Collinearity
• B. Influential observations
• C. Quasi-complete separation
• D. Problems that arise due to missing values

Answer: C

NEW QUESTION 17
Refer to the following exhibit:

What is a correct interpretation of this graph?

• A. The association between the continuous predictor and the binary response is quadratic.
• B. The association between the continuous predictor and the log-odds is quadratic.
• C. The association between the continuous predictor and the continuous response is quadratic.
• D. The association between the binary predictor and the log-odds is quadratic.

Answer: B

NEW QUESTION 18
Including redundant input variables in a regression model can:

• A. Stabilize parameter estimates and increase the risk of overfitting.
• B. Destabilize parameter estimates and increase the risk of overfitting.
• C. Stabilize parameter estimates and decrease the risk of overfitting.
• D. Destabilize parameter estimates and decrease the risk of overfitting.

Answer: B