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SASInstitute A00-240 Exam Syllabus Topics:

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

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q94-Q99):

NEW QUESTION # 94
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / <insert option here> =levene;

Answer: A


NEW QUESTION # 95
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?

Answer: C


NEW QUESTION # 96
Given the following SAS data set TEST:

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

Answer: B


NEW QUESTION # 97
Refer to the exhibit.

Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S),
medium (M), and large (L) wrist sizes?

Answer: B


NEW QUESTION # 98
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

Answer: D


NEW QUESTION # 99
......

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