SASInstitute Modeling Using SAS Visual Statistics - A00-485

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of assigning variable roles in linear regression?

A) To determine the level of significance for each variable
B) To determine the order in which variables are entered into the model
C) To specify which variables are categorical and which are continuous
D) To indicate which variables are predictors and which are responses

2. What does it mean to create dummy variables in SAS Visual Data Builder?

A) Generating artificial data points
B) Replacing missing values with zeros
C) Converting categorical variables into binary variables
D) Aggregating multiple measures into one variable

3. When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

A) AIC (Akaike Information Criterion)
B) p-value for the group-by variable
C) R-squared value
D) BIC (Bayesian Information Criterion)

4. In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A) By linking it to a table in a database
B) By embedding it within a scatter plot
C) By including it as a dimension in a new visualization
D) By exporting it as a separate dataset

5. Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.

A) y = b0 + b1X1 + (b2/b1)X2
B) y = b0 + b1X1 + b2X2
C) y = b0 + b1X1 + b2X1 3
D) y = b0 + b1X1 + b2X2 + b3(X1X2)

Solutions: