Question 1

When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

Options :

A : Training: 40% Validation: 30% Testing: 30%

B : K-fold cross validation

C : Cross validation using 4th quartile observations

D : Use the AIC goodness of fit statistic

Answer: C

Question 2

Select the equivalent LOGISTIC procedure model statements. (Choose two.)

Options :

A : Mode1 Purchase * Gender Age Region

B : Mode1 Purchase * Gender | Age | Region

C : Mode1 Purchase * Gender|Age|Region @1

D : Mode1 Purchase * Gender|Age|Region @2

Answer: A,C

Question 3

Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure. Which statement is true?

Options :

A : The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas theSCORE procedure returns only predicted logits

B : The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCOREprocedure returns only predicted probabilities

C : Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces bothpredicted probabilities and predicted logits

D : The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same

Answer: A

Question 4

An analyst knows that the categorical predictor, storeId, is an important predictor of the target. However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level. What are the two most effective ways to address the problem? (Choose two.)

Options :

A : Eliminate store_id as a predictor in the model because it has too many levels to be feasible

B : Cluster by using Greenacre's method to combine stores that are similar

C : Use subject matter expertise to combine stores that are similar.

D : Randomly combine the stores into five groups to keep the stochastic variation among theobservations intact

Answer: B,C

Question 5

What does the Pearson product moment correlation coefficient measure?

Options :

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

Answer: B