NEW SASINSTITUTE A00-485 TEST TESTKING & A00-485 VALID PRACTICE MATERIALS

New SASInstitute A00-485 Test Testking & A00-485 Valid Practice Materials

New SASInstitute A00-485 Test Testking & A00-485 Valid Practice Materials

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which assessment feature is available when modeling logistic regression models in SAS Visual Statistics?

  • A. Icicle Plot
  • B. Logworth
  • C. ROC Chart
  • D. English Rules

Answer: C


NEW QUESTION # 31
Which statement is true regarding the number of polylines created in a Parallel Coordinates plot during Cluster Analysis?

  • A. It is calculated using the number of variables used in the cluster analysis.
  • B. It is calculated using the number of variables visible in the plot.
  • C. It cannot exceed 3,000.
  • D. It is calculated using the variable with the greatest number of bins.

Answer: B


NEW QUESTION # 32
How can you interpret the impurity measures in an icicle plot of a decision tree?

  • A. Higher impurity indicates better separation of classes.
  • B. Impurity measures are irrelevant in decision tree analysis.
  • C. Impurity measures represent the number of data points in a leaf node.
  • D. Lower impurity implies more homogeneity within a leaf node.

Answer: D


NEW QUESTION # 33
In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

  • A. Aggregating a measure
  • B. Transforming a variable
  • C. Replacing dirty data
  • D. Creating a dummy variable

Answer: D


NEW QUESTION # 34
How can you appropriately change the number of clusters in a k-means cluster analysis?

  • A. By adjusting the learning rate
  • B. By increasing the number of iterations
  • C. By changing the K-value
  • D. By modifying the random seed

Answer: C


NEW QUESTION # 35
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