SAS Institute A00-240 Practice Exam Dumps 2025

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SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

Question 1

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

Options:

The sample means from the validation data set are applied to the training and test data sets.

The sample means from the training data set are applied to the validation and test data sets.

The sample means from the test data set are applied to the training and validation data sets.

The sample means from each partition of the data are applied to their own partition.

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Question 2

A predictive model uses a data set that has several variables with missing values.

What two problems can arise with this model? (Choose two.)

Options:

The model will likely be overfit.

There will be a high rate of collinearity among input variables.

Complete case analysis means that fewer observations will be used in the model building process.

New cases with missing values on input variables cannot be scored without extra data processing.

Question 3

What is the default method in the LOGISTIC procedure to handle observations with missing data?

Options:

Missing values are imputed.

Parameters are estimated accounting for the missing values.

Parameter estimates are made on all available data.

Only cases with variables that are fully populated are used.

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A00-240 Exam Dumps : SAS Statistical Business Analysis SAS9: Regression and Model

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SAS Statistical Business Analysis SAS9: Regression and Model Questions and Answers

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