VALID A00-485 EXAM CRAM, A00-485 EXAM PASSING SCORE

Valid A00-485 Exam Cram, A00-485 Exam Passing Score

Valid A00-485 Exam Cram, A00-485 Exam Passing Score

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Tags: Valid A00-485 Exam Cram, A00-485 Exam Passing Score, A00-485 Reliable Exam Online, New A00-485 Exam Duration, Reliable A00-485 Test Labs

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q110-Q115):

NEW QUESTION # 110
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. The Intercept is an important predictor of the response.
  • B. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
  • C. Age is a significant predictor of the response.
  • D. For one one-unit increase in Average Sales, there is an expected increase in the response of
    4475.443.

Answer: D


NEW QUESTION # 111
In generalized linear models, what is the purpose of the link function?

  • A. To calculate the p-values of predictor variables
  • B. To specify the relationship between the predictor and response variables
  • C. To adjust the model for multicollinearity
  • D. To determine the distribution of the response variable

Answer: B


NEW QUESTION # 112
Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?

  • A. Clusters may overlap in the Cluster Matrix plot.
  • B. SAS Visual Statistics creates a measure variable containing the cluster ID when you derive a Cluster ID variable.
  • C. An observation can belong to more than one cluster.
  • D. You can derive a Cluster ID variable by right clicking on the Parallel Coordinates plot.

Answer: A


NEW QUESTION # 113
When interpreting a Misclassification plot in model comparison, what does it typically show?

  • A. The relationship between two predictor variables
  • B. The performance of models in terms of AUC
  • C. The distribution of the response variable
  • D. The trade-off between false positives and false negatives at different thresholds

Answer: D


NEW QUESTION # 114
When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

  • A. p-value for the group-by variable
  • B. BIC (Bayesian Information Criterion)
  • C. R-squared value
  • D. AIC (Akaike Information Criterion)

Answer: B,C,D


NEW QUESTION # 115
......

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