Refer to the exhibit:

The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and
78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?

• A.It performs better on the boundary for the training data.
• B.It is more complex with a higher accuracy than model A on validation data.
• C.It is more complex with a higher accuracy than model B on training data.
• D.It is simpler with a higher accuracy than model A on validation data.

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The SAS data set RESULT contains the following variables:
* Region (GrpA or GrpB)
* Sales (dollars per year)
Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

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

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This question will ask you to provide a missing option. Given the following SAS program:

What option must be added to the program to obtain a data set containing Pearson statistics?

• A.OUTCORR=estimates
• B.OUTPUT=estimates
• C.OUTP=estimates
• D.OUTSTAT=estimates

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In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

• A.Sequential random sampling with replacement
• B.Simple random sampling without replacement
• C.Simple random sampling with replacement
• D.Stratified random sampling without replacement

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While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?

• A.The imputed values are irrelevant to the validation data, and are not used.
• B.The imputed values must be recalculated using the validation data.
• C.The imputed values must be recalculated using both the training and the validation data.
• D.The imputed values must be applied directly to the validation data without recalculation.

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