SASInstitute A00-240 Pdf Format Practice Program

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SASInstitute A00-240 Exam Syllabus Topics:

SectionWeightObjectives
Prepare Inputs for Predictive Modeling20%- Identify data preparation challenges
- Manipulate data using DATA step
- Screen variables with CORR procedure and empirical logit plots
- Transform categorical variables
Logistic Regression25%- Select and optimize input variables
- Interpret odds ratios and model coefficients
- Build models using PROC LOGISTIC
- Score new datasets with LOGISTIC and PLM
Analysis of Variance (ANOVA)10%- Assess ANOVA assumptions
- Perform post-hoc tests
- Use PROC GLM for ANOVA
- Analyze factor interactions
Measure and Evaluate Model Performance25%- Apply honest assessment principles
- Create and interpret ROC, lift, and gains charts
- Validate models with training/validation data
- Determine optimal decision cut-off values
- Use confusion matrices and classification metrics
Linear Regression20%- Fit multiple linear regression models
- Interpret REG, GLM, and PLM procedure output
- Perform model selection with GLMSELECT
- Conduct residual and diagnostic analysis

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

Answer: D


NEW QUESTION # 16
Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the exhibit, which statement is true?

Answer: D


NEW QUESTION # 17
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?

Answer: A


NEW QUESTION # 18
The selection criterion used in the forward selection method in the REG procedure is:

Answer: A


NEW QUESTION # 19
Refer to the confusion matrix:

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

Answer: B


NEW QUESTION # 20
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