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SASInstitute A00-485 Exam Syllabus Topics:

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. In linear regression, what does a high p-value for a predictor variable suggest?

A) The predictor is a categorical variable.
B) The predictor is highly significant for the model.
C) The predictor is not relevant for the model.
D) The predictor has a strong linear relationship with the response.

3. What is the purpose of implementing score code generated by SAS Visual Statistics?

A) To apply the trained model to new data for predictions
B) To calculate the p-values of predictor variables
C) To evaluate the performance of the scoring code
D) To assess the distribution of residuals in the model

4. What are some features of model comparison in SAS Visual Statistics?

A) Evaluating model stability over time
B) Comparing the performance of different models
C) Assessing the impact of predictor variables on model outcomes
D) Identifying the best model based on a single metric

5. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?

A) The tree will train more slowly.
B) The tree will be harder to interpret.
C) The tree will be more complex.
D) The tree will be simpler.

Solutions: