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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

Answer: C


NEW QUESTION # 81
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?

Answer: A


NEW QUESTION # 82
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?

Answer: B


NEW QUESTION # 83
Which SAS program will detect collinearity in a multiple regression application?

Answer: D


NEW QUESTION # 84
Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.
Which plot do you use to identify influential observations?

Answer: B


NEW QUESTION # 85
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