VCE SASInstitute A00-240 Dumps & Latest A00-240 Demo

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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q28-Q33):

NEW QUESTION # 28
This question will ask you to provide a missing option. Given the following SAS program:

What option must be added to the program to obtain a data set containing Pearson statistics?

A. OUTCORR=estimates
B. OUTPUT=estimates
C. OUTSTAT=estimates
D. OUTP=estimates

Answer: D

NEW QUESTION # 29
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 Prob > F < .0001.
B. Normality, because Prob > F < .0001.
C. Normality, because the interquartile ranges are different in different ad campaigns.
D. Constant variance, because the interquartile ranges are different in different ad campaigns.

Answer: D

NEW QUESTION # 30
The selection criterion used in the forward selection method in the REG procedure is:

A. SLE
B. Mallows' Cp
C. AIC
D. Adjusted R-Square

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 31
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the
sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?

A. Score data=valid1 out=roc;
B. mode1 resp(event"1") = gender region/ out=roc;
C. Score data=valid1 outroc=roc;
D. mode1 resp(event= '1') = gender region/outroc=roc;

Answer: C

NEW QUESTION # 32
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?

A. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.
B. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
C. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
D. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.

Answer: B

NEW QUESTION # 33
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