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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A) By calculating the mean of the predictor variables
B) By applying the link function to the linear predictor
C) By summing the residuals of the model
D) By fitting a linear regression model to the data

2. What properties can be defined in a logistic regression model?

A) The number of iterations
B) The distribution of the response variable
C) The learning rate
D) Coefficients and p-values

3. When performing decision tree analysis in SAS Visual Statistics, how does the property setting for
"include missing" modify the usage of missing values within categorical discrete predictors?

A) imputes the mean of the predictor's known values
B) imputes the median of the predictor's known values
C) assigns the smallest available machine value
D) assigns its own level

4. Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

A) Logistic regression
B) Generalized linear model
C) Decision tree
D) Linear regression

5. In the below linear regression results display, where would you click to access the parameter estimates?

Solutions: