A00-240 Online Practice Questions and Answers

What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

A. It violates assumptions of the model.

B. It requires extra computational effort and time.

C. It omits the training (and test) data sets from the benefits of the cleansing methods.

D. There is no ability to compare the effectiveness of different cleansing methods.

Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

A. All groups are significantly different from each other.

B. 2XL is significantly different from all other groups.

C. Only XL and 2XL are not significantly different from each other.

D. No groups are significantly different from each other.

There are missing values in the input variables for a regression application.

Which SAS procedure provides a viable solution?

A. GLM

B. VARCLUS

C. STDI2E

D. CLUSTER

The Model SS in a multiple linear regression model is equal to:

A. the total SS- MSE

B. the sum of Type I SS of all model terms

C. the sum of Type II SS of all model terms

D. the sum of SSE and MSE

The selection criterion used in the forward selection method in the GLMSELECT procedure is:

A. RSQ

B. MSE

C. R-squared

D. AIC

Refer to the exhibit:

Which statement is true, based on the plots above?

A. Approximately twice as many customers with the top ten percent of predicted probabilities are expected to have a positive versus negative event.

B. Approximately ten percent of a randomly selected subset of twenty percent of the customers are expected to have a positive event.

C. Approximately twenty percent of the customers with a predicted score of 3 have a positive predicted class.

D. Approximately ten percent of those customers with the top twenty percent of predicted probabilities are expected to have a positive event.

A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

A. start = 5

B. include = 4

C. include = 5

D. start = 4

Refer to the confusion matrix:

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

A. Accuracy = 58/102, Error Rate = 23/48

B. Accuracy = 83/102, Error Rate = 67/102

C. Accuracy = 25/150, Error Rate = 44/150

D. Accuracy = 83/150, Error Rate = 67/150

What does the Pearson product moment correlation coefficient measure?

A. nonlinear and nonmonotonic association between two variables

B. linear and monotonic association between two variables

C. linear and nonmonotonic association between two variables

D. nonlinear and monotonic association between two variables

After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error. Which GLM procedure statement would provide the most appropriate output?

A. lsmeans Income / pdiff=control adjust=dunnett;

B. lsmeans Income / pdiff=control adjust=t;

C. lsmeans Income / pdiff=all adjust=tukey;

D. lsmeans Income / pdiff=all adjust=t;