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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q66-Q71):

NEW QUESTION # 66
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

A. Max EDF
B. SBC
C. Brier Score
D. KS

Answer: D

Explanation:
Explanation/Reference: https://support.sas.com/documentation/onlinedoc/ets/132/severity.pdf

NEW QUESTION # 67
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. Score data data=MYDIR.NEW_DATA output=scores;
B. Score data data=MYDIR.NEW_DATA out=scores;
C. Score data=MYDIR, NEW DATA out=scores;
D. Score data=HYDIR.NEU_DATA output=scores;

Answer: C

NEW QUESTION # 68
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?

A. Constant variance, because the interquartile ranges are different in different ad campaigns.
B. Normality, because Prob > F < .0001.
C. Normality, because the interquartile ranges are different in different ad campaigns.
D. Constant variance, because Prob > F < .0001.

Answer: A

NEW QUESTION # 69
Refer to the exhibit:

The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?

A. Model B. It is simpler with a higher accuracy than model A on validation data.
B. Model A. It performs better on the boundary for the training data.
C. Model B. It is more complex with a higher accuracy than model A on validation data.
D. Model A. It is more complex with a higher accuracy than model B on training data.

Answer: A

NEW QUESTION # 70
An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
Gender (M or F)

Pay (dollars per year)

Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries?
(Choose two.)

A. Option B
B. Option D
C. Option C
D. Option A

Answer: A,D

NEW QUESTION # 71
......

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