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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q67-Q72):

NEW QUESTION # 67
Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

A. The predicted lift if none of the population are scored as event cases
B. The predicted lift if the entire population is scored as event cases
C. The predicted lift if 50% of the population are randomly scored as event cases
D. The predicted lift for the best 50% of validation data cases

Answer: B

NEW QUESTION # 68
The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

A. Scoredata data=MYDIR.NEW_DATA out=scores;
B. Scoredata data=MYDIR.NEW_DATA output=scores;
C. Scoredata=MYDIR,NEW DATA out=scores;
D. Scoredata=HYDIR.NEU_DATA output=scores;

Answer: C

NEW QUESTION # 69
Given the following output from the LOGISTIC procedure:

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

A. Greatest: MBALeast: DOWN_AMT
B. Greatest: DOWN_AMTLeast: CASH
C. Greatest: DOWN_AMTLeast: HOME
D. Greatest: MBALeast: CASH

Answer: B

NEW QUESTION # 70
This question will ask you to provide a missing option.
A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.
Which option completes the program to produce the regression equation parameter estimates?

Solve

A. Estimate
B.
C. Est
D. Solution

Answer: C

Explanation:
Explanation/Reference: https://documentation.sas.com/?
docsetId=statug&docsetTarget=statug_ods_examples06.htm&docsetVersion=14.3&locale=en

NEW QUESTION # 71
Refer to the ROC curve:

As you move along the curve, what changes?

A. The proportion of events in the training data
B. The true negative rate in the population
C. The priors in the population
D. The probability cutoff for scoring

Answer: D

NEW QUESTION # 72
......

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