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Get All SAS Statistical Business Analysis SAS9: Regression and Model Exam Questions with Validated Answers
| Vendor: | SAS |
|---|---|
| Exam Code: | A00-240 |
| Exam Name: | SAS Statistical Business Analysis SAS9: Regression and Model |
| Exam Questions: | 99 |
| Last Updated: | July 10, 2026 |
| Related Certifications: | SAS Certified Statistical Business Analyst |
| Exam Tags: |
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Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?
Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
When working with smaller data sets (N<200), which method is preferred to perform honest assessment?
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