Pass Guaranteed A00-240 - Trustable SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam Details

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| Section | Weight | Objectives |
|---|
| Prepare Inputs for Predictive Modeling | 20% | - Identify data preparation challenges - Manipulate data using DATA step - Transform categorical variables - Screen variables with CORR procedure and empirical logit plots
|
| Measure and Evaluate Model Performance | 25% | - Use confusion matrices and classification metrics - Create and interpret ROC, lift, and gains charts - Validate models with training/validation data - Apply honest assessment principles - Determine optimal decision cut-off values
|
| Linear Regression | 20% | - Fit multiple linear regression models - Conduct residual and diagnostic analysis - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output
|
| Analysis of Variance (ANOVA) | 10% | - Assess ANOVA assumptions - Analyze factor interactions - Use PROC GLM for ANOVA - Perform post-hoc tests
|
| Logistic Regression | 25% | - Select and optimize input variables - Build models using PROC LOGISTIC - Interpret odds ratios and model coefficients - Score new datasets with LOGISTIC and PLM
|
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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q82-Q87):
NEW QUESTION # 82
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
- A. Stratified random sampling without replacement
- B. Sequential random sampling with replacement
- C. Simple random sampling with replacement
- D. Simple random sampling without replacement
Answer: A,D
NEW QUESTION # 83
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 the interquartile ranges are different in different ad campaigns.
- B. Constant variance, because Prob > F < .0001.
- C. Constant variance, because the interquartile ranges are different in different ad campaigns.
- D. Normality, because Prob > F < .0001.
Answer: C
NEW QUESTION # 84
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. Chi Square
- C. Adjusted R Square
- D. Mallow's Cp
Answer: A
NEW QUESTION # 85
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

- A. Option D
- B. Option B
- C. Option C
- D. Option A
Answer: B
NEW QUESTION # 86
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. Chi Square
- C. Adjusted R Square
- D. Mallow's Cp
Answer: A
Explanation:
Explanation/Reference:
NEW QUESTION # 87
......
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