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The SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification exam covers important topics such as multiple regression, general linear models, logistic regression, and variable selection techniques. A00-240 Exam is structured in such a way that it challenges participants to demonstrate their competence in working with data sets, developing and validating predictive models, and interpreting statistical results. With this certification, you can build a foundation for future SAS certifications, such as the SAS Certified Data Scientist and the SAS Certified Advanced Analytics Professional.
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SASInstitute A00-240 exam consists of multiple-choice questions and requires candidates to demonstrate their knowledge of SAS programming and statistical analysis concepts. A00-240 exam is conducted in a proctored environment and has a time limit of two hours and 30 minutes. To prepare for the exam, candidates can take SAS training courses or self-study using study materials provided by SAS. The SASInstitute A00-240 Certification is a valuable credential for professionals who want to advance their career in data analysis, business intelligence, or data science.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q12-Q17):
NEW QUESTION # 12
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 25% 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 85% of the customers who did make a purchase are correctly classified as making a purchase.
Answer: D
NEW QUESTION # 13
The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.

What is the estimated logit for a person with large wrist size?
Click the calculator button to display a calculator if needed.
- A. -3.7727
- B. 0.0819
- C. 0.5663
- D. -1.0415
Answer: D
NEW QUESTION # 14
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. var
- B. test
- C. adjust
- D. hovtest
Answer: D
NEW QUESTION # 15
Refer to the exhibit:

The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
- A. Normality, because Prob > F < .0001.
- B. Constant variance, because the interquartile ranges are different in different ad campaigns.
- C. Constant variance, because Prob > F < .0001.
- D. Normality, because the interquartile ranges are different in different ad campaigns.
Answer: B
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. Quasi-complete separation
- C. Problems that arise due to missing values
- D. Influential observations
Answer: B
NEW QUESTION # 17
......
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