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A00-240 – SAS Statistical Business Analysis Using SAS 9: Regression and Modeling

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Showing 4–6 of 10 questions

Question 4

A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC. Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

Select all that apply, then click Submit answer.

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    Option A
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    Option B
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    Option C
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    Option D
Question 5

A predictive model uses a data set that has several variables with missing values.

What two problems can arise with this model? (Choose two.)

Select all that apply, then click Submit answer.

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    The model will likely be overfit.
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    There will be a high rate of collinearity among input variables.
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    Complete case analysis means that fewer observations will be used in the model building process.
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    New cases with missing values on input variables cannot be scored without extra data processing.
Question 6

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?

Select an option, then click Submit answer.

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