Exam Code: a00-240 (Practice Exam Latest Test Questions VCE PDF)
Exam Name: SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
Certification Provider: SAS Institute
Free Today! Guaranteed Training- Pass a00-240 Exam.
Q1. What is the default method in the LOGISTIC procedure to handle observations with missing data?
A. Missing values are imputed.
B. Parameters are estimated accounting for the missing values.
C. Parameter estimates are made on all available data.
D. Only cases with variables that are fully populated are used.
Answer: D
Q2. Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: D
Q3. Given the following LOGISTIC procedure:
What is the difference between the datasets OUTFILEJ and OUTFILE_2?
A. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
D. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
Answer: A
Q4. Which SAS program will detect collinearity in a multiple regression application?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Q5. The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?
A. Training data
B. Total data
C. Test data
D. Validation data
Answer: D
Q6. 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
Q7. Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
A. Use the SCORE statement in the LOGISTIC procedure.
B. Augment the training data set with new observations and set their responses to missing.
C. Augment the training data set with new observations and rerun the LOGISTIC procedure.
D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.
Answer: C
Q8. 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