SAS A00-240 Exam Practice Test Instant Access

Question 1

Refer to the REG procedure output:

An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.

Which statistic justifies this rationale?

AR-Square

BCoeff Var

CAdj R-Sq

DError DF

Answer : C

Question 2

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

AOption A

BOption B

COption C

DOption D

Answer : A

Question 3

Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

AThe predicted lift for the best 50% of validation data cases

BThe predicted lift if the entire population is scored as event cases

CThe predicted lift if none of the population are scored as event cases

DThe predicted lift if 50% of the population are randomly scored as event cases

Answer : B

Question 4

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the training data set?

ATo provide an unbiased measure of assessment for the final model.

BTo compare models and select and fine-tune the final model.

CTo reduce total sample size to make computations more efficient.

DTo build the predictive models.

Answer : A

Question 5

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

AMode1 Purchase * Gender Age Region;

BMode1 Purchase * Gender | Age | Region;

CMode1 Purchase * Gender|Age|Region @1;

DMode1 Purchase * Gender|Age|Region @2;

Answer : A, C

Question 6

Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

AOption A

BOption B

COption C

DOption D

Answer : B

Question 7

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.)

AEliminate store_id as a predictor in the model because it has too many levels to be feasible.

BCluster by using Greenacre's method to combine stores that are similar.

CUse subject matter expertise to combine stores that are similar.

DRandomly combine the stores into five groups to keep the stochastic variation among the observations intact.

Answer : B, C

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