SASInstitute Certification A00-485

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of modeling effects in linear regression?

A) To assess multicollinearity among predictors
B) To capture the relationship between predictors and the response variable
C) To calculate the p-values of the predictors
D) To identify outliers in the data

2. When exporting score code, what information is typically included in the code?

A) The model parameters and coefficients
B) The entire training dataset
C) Instructions for preprocessing new data
D) The distribution of the response variable

3. How can you interpret a Tree Map in the context of a decision tree?

A) It displays the hierarchical structure of the decision tree.
B) It visualizes the distribution of data points in leaf nodes.
C) It shows the decision boundaries between classes.
D) It summarizes the performance metrics of the decision tree.

4. Refer to the exhibit:

What does the Residual Plot from a linear regression model reveal?

A) It suggests the error variance is constant.
B) The model is not capturing all of the available signals in the data.
C) It suggests the errors are uncorrelated.
D) There is an approximately equal number of positive and negative residuals.

5. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Create aggregated measures using the Min and Max aggregations.
B) Create a calculated item subtracting the Min aggregation from the Max aggregation.
C) Select a histogram object for each measure.
D) Select View Measure Details within the Actions menu to the right of the dataset name.

Solutions: