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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
"College Grad", etc.
Which action allows you to incorporate this variable in the cluster analysis without returning a warning?

A)

B)

C)

D)

2. What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?

A) Consistency in data presentation across multiple visualizations
B) Increased performance by reducing data retrieval from the source
C) Enhanced user experience by providing more interactive filtering options
D) Improved security by restricting access to specific data

3. Which modeling technique automatically includes missing values?

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

4. Which assessment feature is available when modeling logistic regression models in SAS Visual Statistics?

A) ROC Chart
B) English Rules
C) Logworth
D) Icicle Plot

5. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The AUC (Area Under the Curve)
B) The learning rate of the model
C) The R-squared value
D) The p-value of the intercept term

Solutions: