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SAS Statistical Business Analysis SAS9: Regression and Model ( A00-240 )
Exam : A00-240
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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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Previous Question         Question   10  /  65        Next Question

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The
logistic regression model gives a probability score named P_R on a SAS data set called VALID.
The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for
responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?

A. Option A
B. Option B
C. Option C
D. Option D
 
 


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Previous Question         Question   11  /  65        Next Question   

In order to perform honest assessment on a predictive model, what is an acceptable division
between training, validation, and testing data?
A. Training: 50% Validation: 0% Testing: 50%
B. Training: 100% Validation: 0% Testing: 0%
C. Training: 0% Validation: 100% Testing: 0%
D. Training: 50% Validation: 50% Testing: 0%
 


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