What is the purpose of implementing score code generated by SAS Visual Statistics?

• A.To calculate the p-values of predictor variables
• B.To assess the distribution of residuals in the model
• C.To evaluate the performance of the scoring code
• D.To apply the trained model to new data for predictions

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You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?

• A.The other levels are grouped into one non-event.
• B.An ordinal logistic regression is performed.
• C.The other levels are offset to account for exposure.
• D.A multinomial logistic regression is performed.

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What is the primary purpose of scoring functionality in SAS Visual Statistics?

• A.To select the best model for a given dataset
• B.To assess the distribution of predictor variables
• C.To evaluate model performance on a test dataset
• D.To generate code for deploying models in production

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When interpreting a Misclassification plot in model comparison, what does it typically show?

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

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Which assessment feature is available when modeling logistic regression models in SAS Visual Statistics?

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

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