Exam style questions across every A00-240 domain
Last Update 3 days ago
Total Questions : 99
Start with our free A00-240 practice questions, carefully crafted to mirror the domains, phrasing, and difficulty of the real Statistical Business Analyst exam. Each A00-240 exam question comes with a detailed rationale that explains not just which answer is correct but why the others fall short. That's how concepts stick. Use the free set to benchmark yourself: identify your SAS Institute weak domains, see where you're losing marks, and build a focused study plan in minutes.
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?
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 VALI
D.
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?
Refer to the REG procedure output:
Click on the calculator button to display a calculator if needed.
The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.
The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43.
If you base model selection solely on overall average profit, what is the correct choice?
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
Refer to the exhibit:
On the Gains Chart, what is the correct interpretation of the horizontal reference line?
There are missing values in the input variables for a regression application.
Which SAS procedure provides a viable solution?
This question will ask you to provide a segment of missing code.
The following code is used to create missing value indicator variables for input variables, fred1 to fred7.
Which segment of code would complete the task?
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?
