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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit from a linear regression model in SAS Visual Statistics.

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

A) For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.
B) The Intercept is an important predictor of the response.
C) For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.
D) RestPulse is a significant predictor of the response.

2. What is the primary purpose of imputing a variable in SAS Visual Analytics?

A) To remove missing values
B) To replace incorrect values
C) To create new variables
D) To aggregate data

3. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To prevent any splits in the tree
B) To control the learning rate of the model
C) To specify the minimum number of data points required to perform a split
D) To determine the maximum depth of the tree

4. When examining the summary table for group-by processing, what information can you find?

A) The standard deviation of the target variable for each group
B) The mean value of the target variable for each group
C) The number of observations in each group
D) The distribution of the group-by variable

5. In SAS Visual Analytics, which tool is commonly used to transform variables using functions like logarithm or square root?

A) SAS Enterprise Guide
B) SAS Visual Data Builder
C) SAS Studio
D) SAS Enterprise Miner

Solutions: