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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q12-Q17):

NEW QUESTION # 12
Refer to the confusion matrix:

Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.

A. 58/102
B. 25/B9
C. 25/48
D. 58/81

Answer: C

Explanation:
Explanation/Reference:

NEW QUESTION # 13
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?

A. Sensitivity estimates are biased.
B. Only the non-intercept parameter estimates are biased.
C. Only the intercept estimate is biased.
D. All parameter estimates are biased.

Answer: C

NEW QUESTION # 14
Given the following GLM procedure output:

Which statement is correct at an alpha level of 0.05?

A. School should be removed because it is significant.
B. School*Gender should be removed because it is non-significant.
C. Gender should be removed because it is non-significant.
D. Gender should not be removed due to its involvement in the significant interaction.

Answer: D

NEW QUESTION # 15
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?

A. Residual by Predicted
B. Residual by Quantile
C. Cook's D by Observation
D. Fit - Mean and Residual Plot

Answer: C

NEW QUESTION # 16
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

A. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
C. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
D. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

Answer: D

NEW QUESTION # 17
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