QUESTION: 1

Refer to the ROC curve:

As you move along the curve, what changes?

The priors in the population
The true negative rate in the population
The proportion of events in the training data
The probability cutoff for scoring

Answer(s): D

QUESTION: 2

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

The sample means from the validation data set are applied to the training and test data sets.
The sample means from the training data set are applied to the validation and test data sets.
The sample means from the test data set are applied to the training and validation data sets.
The sample means from each partition of the data are applied to their own partition.

Answer(s): B

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An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?

Score data=valid1 out=roc;
Score data=valid1 outroc=roc;
mode1 resp(event= '1') = gender region/outroc=roc;
mode1 resp(event"1") = gender region/ out=roc;

Answer(s): B

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QUESTION: 4

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

Simple random sampling without replacement
Simple random sampling with replacement
Stratified random sampling without replacement
Sequential random sampling with replacement

Answer(s): A,C

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Free A00-240 Exam Braindumps (page: 2)

Pass your SAS Institute Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Exam exam with these free Actual Questions and Answers

QUESTION: 1

QUESTION: 2

QUESTION: 3

QUESTION: 4

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