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SAS A00-240 Exam
- Topic 1: Identify the potential challenges when preparing input data for a model/ Detect and analyze interactions between factors
- Topic 2: Model selection and validation using training and validation data/ Perform ANOVA post hoc test to evaluate treatment effect
- Topic 3: Establish effective decision cut-off values for scoring/ Fit a multiple linear regression model using the REG and GLM procedures
- Topic 4: Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection/ Use the REG or GLMSELECT procedure to perform model selection
- Topic 5: Screen variables for irrelevance and non-linear association using the CORR procedure/ Perform logistic regression with the LOGISTIC procedure
- Topic 6: Screen variables for non-linearity using empirical logit plots/ Score new data sets using the LOGISTIC and PLM procedures
- Topic 7: Apply the principles of honest assessment to model performance measurement/ Optimize model performance through input selection
- Topic 8: Analyze differences between population means using the GLM and TTEST procedures/ Assess classifier performance using the confusion matrix
- Topic 9: Assess the validity of a given regression model through the use of diagnostic and residual analysis/ Prepare Inputs for Predictive Model Performance
- Topic 10: Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models/ Improve the predictive power of categorical inputs
Free SAS A00-240 Exam Actual Questions
The questions for A00-240 were last updated On Aug. 04, 2022
What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.
Refer to the exhibit:
On the Gains Chart, what is the correct interpretation of the horizontal reference line?
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
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