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SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Prepare Inputs for Predictive Modeling	20%	- Identify data preparation challenges - Transform categorical variables - Screen variables with CORR procedure and empirical logit plots - Manipulate data using DATA step
Analysis of Variance (ANOVA)	10%	- Perform post-hoc tests - Assess ANOVA assumptions - Use PROC GLM for ANOVA - Analyze factor interactions
Logistic Regression	25%	- Build models using PROC LOGISTIC - Score new datasets with LOGISTIC and PLM - Interpret odds ratios and model coefficients - Select and optimize input variables
Linear Regression	20%	- Conduct residual and diagnostic analysis - Fit multiple linear regression models - Perform model selection with GLMSELECT - Interpret REG, GLM, and PLM procedure output
Measure and Evaluate Model Performance	25%	- Validate models with training/validation data - Apply honest assessment principles - Determine optimal decision cut-off values - Use confusion matrices and classification metrics - Create and interpret ROC, lift, and gains charts

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q10-Q15):

NEW QUESTION # 10
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

A. Training data
B. Test data
C. Total data
D. Validation data

Answer: D

NEW QUESTION # 11
What does the Pearson product moment correlation coefficient measure?

A. linear and nonmonotonic association between two variables
B. nonlinear and monotonic association between two variables
C. linear and monotonic association between two variables
D. nonlinear and nonmonotonic association between two variables

Answer: C

NEW QUESTION # 12
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. OUTP=estimates
D. OUTSTAT=estimates

Answer: C

NEW QUESTION # 13
A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

A. include = 5
B. start = 5
C. start = 4
D. include = 4

Answer: A

NEW QUESTION # 14
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?

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

Answer: D

Explanation:
Explanation/Reference:

NEW QUESTION # 15
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