SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?

A) Apply a data filter on the visualization
B) Specify exclusion criteria in the data source properties
C) Use the exclude option when setting up a filter
D) Define a filter condition using the interactive filter pane

2. What is the primary goal of linear models in statistical modeling?

A) To predict categorical outcomes
B) To classify data into distinct groups
C) To capture non-linear relationships in data
D) To establish a linear relationship between variables

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

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

4. When examining the Cluster Summary tab, what information is typically available?

A) The decision tree structure for each cluster
B) Statistics for each cluster, such as mean and standard deviation
C) The number of variables in the analysis
D) The number of iterations performed during clustering

5. When should you replace dirty data with missing values in SAS Visual Analytics?

A) When you want to create a new variable
B) When the data is incorrect or invalid
C) When you want to remove missing values
D) When the data contains outliers

Solutions: