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SASInstitute A00-255 Exam Syllabus Topics:

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

1. Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

A) 60%
B) 30%
C) 140%
D) 25%

2. Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

A) average squared error
B) Gini coefficient
C) KS statistic
D) misclassification

3. Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:

A) Simple
B) Stepwise
C) Forward
D) Backward

4. Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

A) The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
B) The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
C) The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
D) The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.

5. How many unique indicator variables were created during imputation?
Response:

A) 11-20
B) 1-10
C) 21 or higher
D) none

Solutions: