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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q100-Q105):

NEW QUESTION # 100
What conditions might make models less comparable in SAS Visual Statistics?

A. If they have different learning rates
B. If they are both logistic regression models
C. If they have similar AUC values
D. If they use the same dataset and response variable

Answer: A,C

NEW QUESTION # 101
In the context of assessing model results, what information can be interpreted from the Fit Summary window?

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

Answer: C

NEW QUESTION # 102
You want to filter out certain observations to analyze their effect on the model.

Which windows will achieve this? (Choose two.)

A. Residual Plot
B. Fit Summary
C. Influence Plot
D. Assessment

Answer: A,C

NEW QUESTION # 103
What does adding an interaction effect in linear regression modeling allow you to capture?

A. The joint impact of two or more predictors on the response variable
B. The presence of outliers in the data
C. The multicollinearity among predictors
D. The effect of missing data on the model

Answer: A

NEW QUESTION # 104
What does a ROC chart help assess in model comparison?

A. The stability of model predictions
B. The correlation between predictor variables
C. The trade-off between true positives and false positives at different thresholds
D. The distribution of residuals in the models

Answer: C

NEW QUESTION # 105
......

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New A00-485 Test Camp & Study A00-485 Plan

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q100-Q105):

Here's a Quick and Proven Way to Pass SASInstitute A00-485 Certification exam

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