Want to know Examcollection a00-240 Exam practice test features? Want to lear more about SAS Institute SAS Statistical Business Analysis Using SAS 9: Regression and Modeling certification experience? Study Approved SAS Institute a00-240 answers to Far out a00-240 questions at Examcollection. Gat a success with an absolute guarantee to pass SAS Institute a00-240 (SAS Statistical Business Analysis Using SAS 9: Regression and Modeling) test on your first attempt.
Q33. A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
A. An increase in R-Square
B. A decrease in R-Square
C. A decrease in Mean Square Error
D. No change in R-Square
Answer: A
Q34. Refer to the exhibit:
SAS output from the RSOUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?
A. Age Weight RunTime RunPulse MaxPulse
B. Age Weight RunTime RunPulse RestPulse MaxPulse
C. RestPulse
D. RunTime
Answer: A
Q35. 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.)
A. Option A
B. Option B
C. Option C
D. Option D
Answer: A,B
Q36. A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
A. An increase in R-Square
B. A decrease in R-Square
C. A decrease in Mean Square Error
D. No change in R-Square
Answer: A
Q37. Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Q38. Refer to the ROC curve:
As you move along the curve, what changes?
A. The priors in the population
B. The true negative rate in the population
C. The proportion of events in the training data
D. The probability cutoff for scoring
Answer: D
Q39. A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
A. More high value customers are found in some regions than others.
B. The difference between average purchases for medium and high value customers depends on the region.
C. Regions with higher average purchases have more high value customers.
D. Regions with higher average purchases have more medium value customers.
Answer: B
Q40. This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A. X=40, Y=10
B. X=.05, Y=10
C. X=.05, Y=.40
D. X=.10.Y=05
Answer: B