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SAS Statistical Business Analysis SAS9: Regression and Model

A00-240

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A00-240 Exam Questions and Core Topics

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Identify / Classify the potential challenges when preparing input data for a model/ Detect and Analyze / Inspect interactions between factors
Model selection and validation using training and validation data/ Perform / Execute ANOVA post hoc test to Evaluate / Assess treatment effect
Establish effective decision cut-off values for scoring/ Fit a multiple linear regression model using the REG and GLM procedures
Create / Construct and interpret graphs (ROC, lift, and gains charts) for model comparison and selection/ Use the REG or GLMSELECT procedure to Perform / Execute model selection
Screen variables for irrelevance and non-linear association using the CORR procedure/ Perform / Execute logistic regression with the LOGISTIC procedure
Screen variables for non-linearity using empirical logit plots/ Score new data sets using the LOGISTIC and PLM procedures
Apply the principles of honest assessment to model performance measurement/ Optimize model performance through input selection
Analyze / Inspect differences between population means using the GLM and TTEST procedures/ Assess classifier performance using the confusion matrix
Assess the validity of a Given / Provided regression model through the use of diagnostic and residual analysis/ Prepare / Produce Inputs for Predictive Model Performance
Analyze / Inspect the output of the REG, PLM, and GLM procedures for multiple linear regression models/ Improve the predictive power of categorical inputs

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A00-240 Dumps

SAS Statistical Business Analysis SAS9: Regression and Model

A00-240

Total Questions

100 Questions Answers

Update Date

Tuesday, June 28, 2022

Certifications

A00-240 Exam Questions and Core Topics

Top Ranked A00-240 Test Questions and Exam Prep Material - Updated 2022