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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q83-Q88):

NEW QUESTION # 83
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

Answer: B


NEW QUESTION # 84
Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

Answer: A


NEW QUESTION # 85
Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing
model with more predictors.
Which statistic justifies this rationale?

Answer: B


NEW QUESTION # 86
There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?

Answer: D


NEW QUESTION # 87
The selection criterion used in the forward selection method in the REG procedure is:

Answer: D


NEW QUESTION # 88
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