SAS A00-240 Exam Practice Test Instant Access

Question 1

The standard form of a linear regression model is:

Which statement best summarizes the assumptions placed on the errors?

AThe errors are correlated, normally distributed with constant mean and zero variance.

BThe errors are correlated, normally distributed with zero mean and constant variance.

CThe errors are independent, normally distributed with constant mean and zero variance.

DThe errors are independent, normally distributed with zero mean and constant variance.

Answer : D

Question 2

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?

AIt violates assumptions of the model.

BIt requires extra computational effort and time.

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

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

Answer : D

Question 3

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 4

Refer to the exhibit:

The box plot was used to analyze daily sales data following three different ad campaigns.

The business analyst concludes that one of the assumptions of ANOVA was violated.

Which assumption has been violated and why?

ANormality, because Prob > F < .0001.

BNormality, because the interquartile ranges are different in different ad campaigns.

CConstant variance, because Prob > F < .0001.

DConstant variance, because the interquartile ranges are different in different ad campaigns.

Answer : D

Question 5

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

Which SAS procedure provides a viable solution?

AGLM

BVARCLUS

CSTDI2E

DCLUSTER

Answer : C

Question 6

Given the following GLM procedure output:

Which statement is correct at an alpha level of 0.05?

ASchool*Gender should be removed because it is non-significant.

BGender should be removed because it is non-significant.

CSchool should be removed because it is significant.

DGender should not be removed due to its involvement in the significant interaction.

Answer : D

Question 7

Refer to the exhibit.

Which conclusion is justified concerning Sales, comparing stores A, B, and C?

AStore B is significantly different from store A.

BStore C is significantly different from Store A.

CStore B is significantly different from store C.

DThere is no significant difference between stores.

Answer : A

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