Get Updated A00-240 SAS Statistical Business Analysis SAS9: Regression and Model Exam Preparation Questions

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SAS Institute A00-240 Exam Sample Questions

Question: 3

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?

  1. Score data=valid1 out=roc;
  2. Score data=valid1 outroc=roc;
  3. mode1 resp(event= ‘1’) = gender region/outroc=roc;
  4. mode1 resp(event”1″) = gender region/ out=roc;


Answer: B

Question: 4

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

  1. Simple random sampling without replacement
  2. Simple random sampling with replacement
  3. Stratified random sampling without replacement
  4. Sequential random sampling with replacement


Answer: AC

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Question: 3

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?

  1. Score data=valid1 out=roc;
  2. Score data=valid1 outroc=roc;
  3. mode1 resp(event= ‘1’) = gender region/outroc=roc;
  4. mode1 resp(event”1″) = gender region/ out=roc;


Answer: B

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Question: 4

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

  1. Simple random sampling without replacement
  2. Simple random sampling with replacement
  3. Stratified random sampling without replacement
  4. Sequential random sampling with replacement


Answer: AC

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Question: 3

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?

  1. Score data=valid1 out=roc;
  2. Score data=valid1 outroc=roc;
  3. mode1 resp(event= ‘1’) = gender region/outroc=roc;
  4. mode1 resp(event”1″) = gender region/ out=roc;


Answer: B

Question: 4

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

  1. Simple random sampling without replacement
  2. Simple random sampling with replacement
  3. Stratified random sampling without replacement
  4. Sequential random sampling with replacement


Answer: AC

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