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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?

A) You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
B) The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
C) The resulting model is a binary logistic regression model with a selected level as the event.
D) The resulting model is a multinomial logistic regression model with a generalized logit link.

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

3. What is the primary purpose of scoring functionality in SAS Visual Statistics?

A) To evaluate model performance on a test dataset
B) To select the best model for a given dataset
C) To assess the distribution of predictor variables
D) To generate code for deploying models in production

4. Refer to the exhibit:

An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?

A) 352.454433
B) 352.405432
C) 362.415133
D) 352.415433

5. Refer to the exhibits:


An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 6 cluster IDs in Exhibit 2 based on these settings?

A) Parallel Coordinates Visible Roles setting is 6.
B) Cluster Diagram Visible Roles setting is 6.
C) Variable Standardization has been chosen.
D) There are observations with missing values.

Solutions: