SAS Statistical Business Analysis Using SAS 9: Regression and Modeling: A00-240

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?

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

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

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

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

Refer to the following exhibit:

What is a correct interpretation of this graph?

A. The association between the continuous predictor and the binary response is quadratic.

B. The association between the continuous predictor and the log-odds is quadratic.

C. The association between the continuous predictor and the continuous response is quadratic.

D. The association between the binary predictor and the log-odds is quadratic.

While building a predictive model, median imputations are performed while preparing the training data. How should the imputations be addressed in the validation data?

A. The imputed values are irrelevant to the validation data, and are not used.

B. The imputed values must be applied directly to the validation data without recalculation.

C. The imputed values must be recalculated using the validation data.

D. The imputed values must be recalculated using both the training and the validation data.