Online Access Free A00-240 Practice Test

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.
Why was it removed?

• A.The p-Value for nAtBat was smallest.
• B.The p-Value for nAtBat was largest.
• C.Removing nAtBat yielded the largest improvement to SBC.
• D.Removing nAtBat had the largest effect on the parameter estimate of nHits.

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 must be applied directly to the validation data without recalculation.
• B.The imputed values must be recalculated using both the training and the validation data.
• C.The imputed values must be recalculated using the validation data.
• D.The imputed values are irrelevant to the validation data, and are not used.

Refer to the exhibit.

Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?

• A.There is no significant difference due to wrist size.
• B.Large wrist size is significantly different than small wrist size.
• C.Medium wrist size is significantly different than small wrist size.
• D.Large wrist size is significantly different than medium wrist size.

Refer to the ROC curve:

As you move along the curve, what changes?

• A.The proportion of events in the training data
• B.The true negative rate in the population
• C.The probability cutoff for scoring
• D.The priors in the population

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.