A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path

The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.

if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.

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Topics of A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Dumps will include the following topics:

1. ANOVA - 10%

• Perform ANOVA post hoc test to evaluate treatment effect
• Detect and analyze interactions between factors
• Analyze differences between population means using the GLM and TTEST procedures
• Verify the assumptions of ANOVA

2. Linear Regression - 20%

• Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
• Assess the validity of a given regression model through the use of diagnostic and residual analysis
• Use the REG or GLMSELECT procedure to perform model selection
• Fit a multiple linear regression model using the REG and GLM procedures

3. Logistic Regression - 25%

• Score new data sets using the LOGISTIC and PLM procedures
• Interpret the output of the LOGISTIC procedure
• Perform logistic regression with the LOGISTIC procedure
• Optimize model performance through input selection

4. Prepare Inputs for Predictive Model Performance - 20%

• Screen variables for irrelevance and non-linear association using the CORR procedure
• Identify the potential challenges when preparing input data for a model
• Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
• Screen variables for non-linearity using empirical logit plots
• Improve the predictive power of categorical inputs

5. Measure Model Performance - 25%

• Assess classifier performance using the confusion matrix
• Apply the principles of honest assessment to model performance measurement
• Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
• Model selection and validation using training and validation data
• Establish effective decision cut-off values for scoring

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential A00-240 exam vce dumps preparation

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SASInstitute A00-240 Exam Syllabus Topics:

Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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