File Info
| Exam | SAS Statistical Business Analysis SAS9: Regression and Model |
| Number | A00-240 |
| File Name | SASInstitute.A00-240.ExamLabs.2019-12-17.39q.tqb |
| Size | 2 MB |
| Posted | Dec 17, 2019 |
| Download | SASInstitute.A00-240.ExamLabs.2019-12-17.39q.tqb |
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Demo Questions
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
Correct answer: 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.
Correct answer: B
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?
- 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;
Correct answer: B
