A00-485 EXAM BRAINDUMPS: MODELING USING SAS VISUAL STATISTICS & A00-485 CERTIFICATION TRAINING

A00-485 Exam Braindumps: Modeling Using SAS Visual Statistics & A00-485 Certification Training

A00-485 Exam Braindumps: Modeling Using SAS Visual Statistics & A00-485 Certification Training

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q114-Q119):

NEW QUESTION # 114
Which statement is true regarding model comparison within SAS Visual Statistics?

  • A. Two generalized linear models cannot be compared if they use different underlying distributions.
  • B. Two cluster analyses cannot be compared if they have different initial seed assignments.
  • C. A logistic regression and a decision tree cannot be compared.
  • D. A linear regression and a generalized linear model cannot be compared.

Answer: B


NEW QUESTION # 115
In the context of assessing model results, what information can be interpreted from the Fit Summary window?

  • A. A summary of the model's goodness of fit and performance metrics
  • B. The distribution of the response variable in the dataset
  • C. A list of all predictor variables used in the model
  • D. A detailed description of the data preprocessing steps

Answer: A


NEW QUESTION # 116
Select the best distribution to model with linear regression.

  • A.
  • B.
  • C.
  • D.

Answer: B


NEW QUESTION # 117
When interpreting a Residual Plot, what does it reveal about the model's performance?

  • A. The distribution of predictor variables in the dataset
  • B. The p-values associated with the predictor variables
  • C. The linear relationship between predictors and the response
  • D. The presence of any outliers or patterns in prediction errors

Answer: D


NEW QUESTION # 118
When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?

  • A. To ensure that predictor variables are not highly correlated
  • B. To identify influential outliers
  • C. To detect non-linear relationships
  • D. To calculate the coefficient of determination (R-squared)

Answer: A


NEW QUESTION # 119
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