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
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Q9. Refer to the REG procedure output:
Click on the calculator button to display a calculator if needed.
A. 0.4115
B. 0.6994
C. 0.5884
D. 0.1372
Answer: A
Q10. 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
Q11. The question will ask you to provide a missing statement. Given the following SAS program:
Which SAS statement will complete the program to correctly score the data set NEW_DATA?
A. Scoredata data=MYDIR.NEW_DATA out=scores;
B. Scoredata data=MYDIR.NEW_DATA output=scores;
C. Scoredata=HYDIR.NEU_DATA output=scores;
D. Scoredata=MYDIR,NEW DATA out=scores;
Answer: D
Q12. 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
Q13. The standard form of a linear regression model is:
Which statement best summarizes the assumptions placed on the errors?
A. The errors are correlated, normally distributed with constant mean and zero variance.
B. The errors are correlated, normally distributed with zero mean and constant variance.
C. The errors are independent, normally distributed with constant mean and zero variance.
D. The errors are independent, normally distributed with zero mean and constant variance.
Answer: D
Q14. 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.
Answer: B
Q15. 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
Q16. 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