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SASInstitute A00-240 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Exam
Exam Number:A00-240
Certificate Validity Period:3 years
Passing Score:Approximately 70%
Exam Format:Computer-Based Exam (Proctored), Multiple Response, Multiple Choice
Related Certifications:SAS Certified Advanced Programmer for SAS 9
SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
SAS Certified Base Programmer for SAS 9
Available Languages:English
Exam Duration:120-135
Real Exam Qty:50-60
Exam Price:$180 USD (varies by region)
Recommended Training:SAS Regression and Modeling Training
Exam Registration:SAS Certification Registration
Sample Questions:SASInstitute A00-240 Sample Questions
Exam Way:Computer-based proctored exam (online or test center)
Pre Condition:Recommended: SAS Certified Base Programmer for SAS 9 or equivalent experience with SAS programming and statistical methods.
Official Syllabus URL:https://www.sas.com/en_us/certification.html

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SASInstitute A00-240 Exam is a comprehensive exam that covers a variety of topics related to regression and modeling using SAS software. Some of the key topics covered in the exam include linear regression, logistic regression, model selection, and variable selection. Candidates will also be tested on their ability to use SAS procedures such as PROC REG, PROC LOGISTIC, and PROC GLM to perform advanced statistical analyses.

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

NEW QUESTION # 83
Given the following SAS data set TEST:

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

Answer: B


NEW QUESTION # 84
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?

Answer: B


NEW QUESTION # 85
Refer to the exhibit:

SAS output from the RSOUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?

Answer: A


NEW QUESTION # 86
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

Answer: D


NEW QUESTION # 87
Refer to the lift chart:

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

Answer: C


NEW QUESTION # 88
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