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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. What is the primary purpose of modeling effects in linear regression?

A) To calculate the p-values of the predictors
B) To identify outliers in the data
C) To capture the relationship between predictors and the response variable
D) To assess multicollinearity among predictors

3. Select the best distribution to model with linear regression.

A)

B)

C)

D)

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

5. In decision tree analysis, what is typically found on the y-axis of an icicle plot?

A) Feature values
B) Depth of the tree
C) Impurity measures
D) Class labels

Solutions: