SAS A00-240 Exam Questions Instant Access

Question 1

Refer to the confusion matrix:

An analyst determines that loan defaults occur at the rate of 3% in the overall population. The above confusion matrix is from an oversampled test set (1 = default).

What is the sensitivity adjusted for the population event probability?

Enter your answer in the space below. Round to three decimals (example: n.nnn).

See Below Explanation:

Answer : A

Question 2

Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.

Based on the exhibit, which statement is true?

AThe AIC champion model is more parsimonious than the SBC champion.

BThe SBC champion model is more parsimonious than the AIC champion.

CThe R-Square champion model is the most parsimonious.

DAdjusted R-Square and R-Square agree on the champion model.

Answer : B

Question 3

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 4

An analyst compares the mean salaries of men and women working at a company.

The SAS data set SALARY contains variables:

Gender (M or F)

Pay (dollars per year)

Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries? (Choose two.)

AOption A

BOption B

COption C

DOption D

Answer : A, B

Question 5

Screening for non-linearity in binary logistic regression can be achieved by visualizing:

AA scatter plot of binary response versus a predictor variable.

BA trend plot of empirical logit versus a predictor variable.

CA logistic regression plot of predicted probability values versus a predictor variable.

DA box plot of the odds ratio values versus a predictor variable.

Answer : B

Question 6

Refer to the exhibit:

Which statement is true, based on the plots above?

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

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

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

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

Answer : A

Question 7

A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.

What will be the result?

AAn increase in R-Square

BA decrease in R-Square

CA decrease in Mean Square Error

DNo change in R-Square

Answer : B

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