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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When assessing the quality of a linear regression model, what does a low p-value associated with the F-statistic suggest?

A) The model is a poor fit for the data.
B) The model has a high level of multicollinearity.
C) The model has a significant overall explanatory power.
D) The model has a weak linear relationship with the response.

2. Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

A) Concordance
B) Adjusted R-Squared
C) AIC
D) Likelihood Displacement

3. What is the primary purpose of concordance statistics in model comparison?

A) To assess the multicollinearity among predictors
B) To measure the balance between sensitivity and specificity
C) To evaluate the relationship between two predictor variables
D) To calculate the p-values of predictor variables

4. Refer to the exhibit:

Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?

A) Classification = Measure & Model Type = Discrete
B) Classification = Category & Model Type = Continuous
C) Classification = Category & Model Type = Discrete
D) Classification = Measure & Model Type = Continuous

5. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Create a calculated item subtracting the Min aggregation from the Max aggregation.
B) Select a histogram object for each measure.
C) Select View Measure Details within the Actions menu to the right of the dataset name.
D) Create aggregated measures using the Min and Max aggregations.

Solutions: