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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Given a scenario where the response variable represents the number of accidents in a day, what distribution and link function might be appropriate for modeling?

A) Poisson distribution with a log link function
B) Logistic distribution with a logit link function
C) Normal distribution with an identity link function
D) Exponential distribution with a square root link function

2. When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

A) Decision Tree
B) Principal Component Analysis (PCA)
C) Linear Regression
D) K-means

3. What are the essentials of logistic regression?

A) Estimating probabilities of categorical outcomes
B) Using the logit link function to model the probability of an event
C) Modeling binary or ordinal outcomes
D) Assuming a linear relationship between predictors and response

4. Refer to the exhibits:


An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 6 cluster IDs in Exhibit 2 based on these settings?

A) Variable Standardization has been chosen.
B) Cluster Diagram Visible Roles setting is 6.
C) Parallel Coordinates Visible Roles setting is 6.
D) There are observations with missing values.

5. Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

A) Logistic regression
B) Decision tree
C) Linear regression
D) Generalized linear model

Solutions: