SAS A00-240 Exam Questions Instant Access

Question 1

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

ADepth

BSensitivity

CSpecificity

DPositive predictive value

Answer : B

Question 2

This question will ask you to provide a missing option.

A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.

Which option completes the program to produce the regression equation parameter estimates?

ASolve

BEstimate

CSolution

DEst

Answer : C

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

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 5

An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:

What is the most likely reason that the model fails to converge?

AThere is quasi-complete separation in the data.

BThere is collinearity among the predictors.

CThere are missing values in the data.

DThere are too many observations in the data.

Answer : A

Question 6

Which SAS program will best identify influential observations in a multiple regression application?

AOption A

BOption B

COption C

DOption D

Answer : C

Question 7

Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

AThe odds of the event are 1.142 greater for each one dollar increase in salary.

BThe odds of the event are 1.142 greater for each one thousand dollar increase in salary.

CThe probability of the event is 1.142 greater for each one dollar increase in salary.

DThe probability of the event is 1.142 greater for each one thousand dollar increase in salary.

Answer : B

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