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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q115-Q120):

NEW QUESTION # 115
How can you apply filters to both visualization and data source in SAS Visual Analytics?

A. Define filters directly in the data source properties
B. Use the filter pane to apply filters to the visualization
C. Apply filters using the interactive filter dialog in the visualization
D. Use the toolbar options to filter the visualization

Answer: A,B,C,D

NEW QUESTION # 116
When would you typically use a linear regression model instead of a generalized linear model (GLM)?

A. When the goal is to model categorical outcomes
B. When dealing with count data
C. When the dependent variable is binary
D. When there is no assumption of linearity in the data

Answer: D

NEW QUESTION # 117
Which statement is true about performing regressions in SAS Visual Statistics?

A. You can build neither a linear regression nor a logistic regression with a generalized linear model.
B. You can specify an ordinal classifier as the response variable with linear regression.
C. You can specify a multinomial classifier as the response variable with linear regression.
D. You can build both a linear regression or a logistic regression with a generalized linear model.

Answer: D

NEW QUESTION # 118
When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

A. Principal Component Analysis (PCA)
B. Linear Regression
C. Decision Tree
D. K-means

Answer: D

NEW QUESTION # 119
Refer to the exhibit:

Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?

A. About 1.1 times better than a random sample of the same size
B. About 4 times better than a random sample of the same size
C. About 1.25 times better than a random sample of the same size
D. About 1.5 times better than a random sample of the same size

Answer: D

NEW QUESTION # 120
......

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