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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When investigating leaf nodes in a decision tree, what does it reveal about the data?

A) The class labels assigned to each leaf node
B) The statistical significance of each leaf node
C) The feature values associated with each leaf node
D) The decision rules leading to each leaf node

2. In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A) A summary of the model's goodness of fit and performance metrics
B) A detailed description of the data preprocessing steps
C) The distribution of the response variable in the dataset
D) A list of all predictor variables used in the model

3. What are the roles that can be assigned in a generalized linear model (GLM)?

A) Intercept
B) Predictor
C) Target
D) Offset

4. In a generalized linear model, what is the role of the link function in transforming the linear predictor?

A) It maps the linear predictor to the range of the response variable.
B) It determines the distribution of the response variable.
C) It scales the predictor variables.
D) It ensures that the linear predictor is always positive.

5. 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)

Solutions: