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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.

What can be concluded from the fit summary?

A) Average Sales is a significant predictor when Customer Value Level = E.
B) Average Sales is an important predictor when Customer Value Level = C.
C) Customer Value Level is not a significant predictor in this model.
D) Customer Value Level C has no important variables associated with it.

2. Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

A) 352.454433
B) 352.405432
C) 362.415133
D) 352.415433

3. Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?

A) SAS Enterprise Miner
B) SAS Enterprise Guide
C) SAS Studio
D) SAS Data Integration Studio

4. Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

A) Logistic Regression model would be selected at lift=20
B) Logistic Regression model would be selected at lift=5
C) Decision Tree model would be selected at lift=20
D) Decision Tree model would be selected at lift=5

5. What is one potential disadvantage of excessively deep decision trees?

A) Overfitting to the training data
B) Greater stability in the model
C) Faster prediction times
D) Increased interpretability

Solutions: