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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. What information is conveyed by a Summary bar in model assessment?

A) The summary statistics of the response variable
B) The standard deviation of the predictor variables
C) The performance metrics of the model, such as AUC and KS Statistic
D) The distribution of residuals in the model

3. What is the purpose of reviewing Measure Details when preparing data for a model?

A) To determine the aggregation method for measures
B) To check data types and formats of the measures
C) To identify missing values in the measures
D) To understand the level of measurement for each variable

4. When building a predictive model with logistic regression, when should you choose an appropriate link function?

A) Based on the nature of the response variable and the problem
B) After specifying the number of predictors
C) After specifying the learning rate
D) Before assigning roles to variables

5. After a logistic regression has been created in SAS Visual Statistics, you discover that not all observations were used to create the model.
How would you run the model on all of the data?

A) Select Informative Missingness on the properties tab.
B) Select Use Variable Selection on the properties tab.
C) Include the correct offset term.
D) Include the correct interaction term.

Solutions: