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SASInstitute A00-240 Exam Syllabus Topics:

SectionObjectives
Topic 1: Multiple Regression- Model building and selection
- Multicollinearity diagnostics
- Interaction effects
Topic 2: ANOVA and General Linear Models- One-way and multi-way ANOVA
- GLM procedures in SAS
Topic 3: Model Diagnostics and Validation- Goodness-of-fit measures
- Influence and leverage
Topic 4: Logistic Regression- Model fit and diagnostics
- Binary logistic regression
Topic 5: Simple Linear Regression- Estimation and inference
- Model assumptions and interpretation
- Residual analysis

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q78-Q83):

NEW QUESTION # 78
The total modeling data has been split into training, validation, and test data.
What is the best data to use for model assessment?

Answer: A


NEW QUESTION # 79
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?

Answer: D


NEW QUESTION # 80
This question will ask you to provide a missing option.
Given the following SAS program:

What option must be added to the program to obtain a data set containing Spearman statistics?

Answer: D

Explanation:
Explanation/Reference:


NEW QUESTION # 81
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

Answer: B


NEW QUESTION # 82
Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase. The following is the output from the GLM procedure:

What percentage of customers' intent to purchase is explained by market segment?
Click the calculator button to display a calculator if needed.

Answer: B


NEW QUESTION # 83
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