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1. Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:
A) Simple
B) Backward
C) Forward
D) Stepwise
2. Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)
* Run the Decision Tree node.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:
A) 0.30-0.449999
B) 0.45 or higher
C) less than 0.149999
D) 0.15-0.299999
3. If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:
A) Decision Tree (3-way)
B) Regression
C) Neural Network
D) Decision Tree
4. Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:
A) reduction of odds for TARGET=1 by 0.708
B) change of odds for TARGET=1 by a factor 0.3457
C) change of odds for TARGET=1 by a factor 0.708
D) reduction of odds for TARGET=1 by 0.3457
5. If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
A) between 50%-79.99%
B) 80% or higher
C) less than 15%
D) between 15%-49.99%
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |
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