SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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

2. Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?

A) SAS Enterprise Miner
B) SAS Studio
C) SAS Enterprise Guide
D) SAS Data Integration Studio

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

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

4. Which modeling technique automatically includes missing values?

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

5. In a generalized linear model, what is the role of the link function in transforming the linear predictor?

A) It scales the predictor variables.
B) It determines the distribution of the response variable.
C) It maps the linear predictor to the range of the response variable.
D) It ensures that the linear predictor is always positive.

Solutions: