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SASInstitute A00-255 Exam Syllabus Topics:

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. The number of neurons in this Neural Network model is which of the following:
Response:

A) 1
B) 4 or more
C) 3
D) 2

2. Multicollinearity in regression refers to which of the following?
Response:

A) high correlations among input variables
B) non-constant variance of the target variable
C) high skewness in distributions of input variables
D) non-normality of the target variable

3. Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A) decrease the performance of logistic regression
B) neither increase nor decrease the performance of logistic regression
C) create convergence problems in maximum likelihood estimation
D) increase the performance of logistic regression

4. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) smaller value of gamma
B) smaller value of SBC (Schwarz,s Bayesian criterion)
C) higher value of AIC (Akaike,s information criterion)
D) all of the above

5. Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 86.25
B) 690
C) 6.9
D) 69

Solutions: