2026 New A00-240 Exam Objectives | Professional 100% Free Latest SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam Objectives

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SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: ANOVA	10%	- ANOVA Analysis 1. Detect and analyze factor interactions 2. Evaluate treatment effects 3. Perform post hoc tests 4. Analyze differences between population means using GLM and TTEST procedures - ANOVA Concepts and Assumptions 1. Identify appropriate ANOVA methods 2. Verify ANOVA assumptions
Topic 2: Linear Regression	20%	- Interpret Regression Results 1. Evaluate parameter estimates 2. Interpret REG, PLM and GLM output - Build Regression Models 1. Fit multiple linear regression models 2. Use REG and GLM procedures - Model Selection and Diagnostics 1. Conduct residual and diagnostic analysis 2. Perform model selection using REG or GLMSELECT 3. Assess model validity
Topic 3: Measure Model Performance	25%	- Validation and Selection 1. Perform model validation using training and validation data 2. Compare and select predictive models - Performance Visualization 1. Create and interpret gains charts 2. Create and interpret lift charts 3. Create and interpret ROC charts - Model Assessment 1. Apply principles of honest assessment 2. Assess classifier performance using confusion matrices - Decision Optimization 1. Evaluate scoring strategies 2. Establish effective decision cutoff values
Topic 4: Logistic Regression	25%	- Interpret and Deploy Models 1. Interpret LOGISTIC procedure output 2. Score new data sets using LOGISTIC and PLM procedures - Develop Logistic Models 1. Optimize model performance through input selection 2. Perform logistic regression using the LOGISTIC procedure
Topic 5: Prepare Inputs for Predictive Model Performance	20%	- Variable Engineering and Screening 1. Screen variables for irrelevance 2. Identify nonlinear associations using CORR procedure 3. Improve predictive power of categorical variables 4. Use empirical logit plots for nonlinearity detection - Data Preparation 1. Identify challenges in preparing model input data 2. Use loops, arrays, functions and conditional statements 3. Manipulate data using DATA step programming

>> New A00-240 Exam Objectives <<

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SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions (Q80-Q85):

NEW QUESTION # 80
Screening for non-linearity in binary logistic regression can be achieved by visualizing:

A. A scatter plot of binary response versus a predictor variable.
B. A box plot of the odds ratio values versus a predictor variable.
C. A trend plot of empirical logit versus a predictor variable.
D. A logistic regression plot of predicted probability values versus a predictor variable.

Answer: C

NEW QUESTION # 81
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?

A. Specificity and PV
B. PV+ and PV
C. Sensitivity and Specificity
D. Sensitivity and PV+

Answer: C

NEW QUESTION # 82
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. Constant variance, because the interquartile ranges are different in different ad campaigns.
C. Normality, because Prob > F < .0001.
D. Normality, because the interquartile ranges are different in different ad campaigns.

Answer: B

NEW QUESTION # 83
Which SAS program will detect collinearity in a multiple regression application?

A. Option D
B. Option C
C. Option B
D. Option A

Answer: C

NEW QUESTION # 84
Refer to the following exhibit:

What is a correct interpretation of this graph?

A. The association between the continuous predictor and the log-odds is quadratic.
B. The association between the binary predictor and the log-odds is quadratic.
C. The association between the continuous predictor and the continuous response is quadratic.
D. The association between the continuous predictor and the binary response is quadratic.

Answer: A

NEW QUESTION # 85
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