In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

• A.To calculate the p-values of predictor variables
• B.To verify if the chosen model assumptions are met and make adjustments if necessary
• C.To ensure that predictor variables are not highly correlated
• D.To determine the order of predictor variables in the model

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When exporting score code, what information is typically included in the code?

• A.The distribution of the response variable
• B.Instructions for preprocessing new data
• C.The model parameters and coefficients
• D.The entire training dataset

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What is the primary benefit of exporting score code for model deployment?

• A.It allows for model performance assessment on a test dataset.
• B.It provides insights into the distribution of predictor variables.
• C.It enables scoring of new data without the need for SAS Visual Statistics.
• D.It automatically generates new predictor variables.

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