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SAS Statistical Business Analysis SAS9: Regression and Model ( A00-240 )
Exam : A00-240
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Previous Question             Question   7  /  65            Next Question   

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?
A. The predicted lift for the best 50% of validation data cases
B. The predicted lift if the entire population is scored as event cases
C. The predicted lift if none of the population are scored as event cases
D. The predicted lift if 50% of the population are randomly scored as event cases
 


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Previous Question         Question   8  /  65        Next Question

Suppose training data are oversampled in the event group to make the number of events and nonevents
roughly equal. A logistic regression is run and the probabilities are output to a data set
NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if
probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates
whether there is an event (1=Event, 0= No event).
The following SAS program was used.

What does this program calculate?
A. Depth
B. Sensitivity
C. Specificity
D. Positive predictive value
 
 


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Previous Question         Question   9  /  65        Next Question   

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


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