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SASInstitute A00-240 Certification Exam is designed to validate the expertise and knowledge of professionals who deal with statistical business analysis using SAS 9. Professionals who seek to pursue this certification must demonstrate their proficiency in regression and modeling, as these are the core competencies required for the credential.
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SASInstitute A00-240: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential is an exam that tests an individual's knowledge and skills in using SAS software for data analysis, regression and modeling. It is a popular certification among data analysts, statisticians and business analysts who work with large data sets and need to perform statistical analysis and modeling.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q50-Q55):
NEW QUESTION # 50
Refer to the exhibit:

An analyst examined logistic regression models for predicting whether a customer would make a purchase.
The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule,
25% of the customers who did not make a purchase are incorrectly classified as purchasers.
What can be concluded from the graph?
- A. About 85% of the customers who did make a purchase are correctly classified as making a purchase.
- B. About 50% of the customers who did make a purchase are correctly classified as making a purchase.
- C. About 95% of the customers who did make a purchase are correctly classified as making a purchase.
- D. About 25% of the customers who did make a purchase are correctly classified as making a purchase.
Answer: A
NEW QUESTION # 51
CORRECT TEXT
A linear model has the following characteristics:
*A dependent variable (y)
*One continuous variable (xl), including a quadratic term (x12)
*One categorical (d with 3 levels) predictor variable and an interaction term (d by x1)
How many parameters, including the intercept, are associated with this model?
Enter your numeric answer in the space below. Do not add leading or trailing spaces to your answer.

Answer:
Explanation:
7
NEW QUESTION # 52
A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.
What will be the result?
- A. An increase in R-Square
- B. A decrease in R-Square
- C. A decrease in Mean Square Error
- D. No change in R-Square
Answer: B
NEW QUESTION # 53
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
- A. Average Squared Error
- B. Adjusted R Square
- C. Mallow's Cp
- D. Chi Square
Answer: A
Explanation:
Explanation/Reference:
NEW QUESTION # 54
A marketing campaign will send brochures describing an expensive product to a set of customers. The
cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?

- A. Option A
- B. Option C
- C. Option B
- D. Option D
Answer: B
NEW QUESTION # 55
......
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