SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

QUESTION NO: 1
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?

A. Option A B. Option C C. Option D D. Option B

Correct Answer: A

QUESTION NO: 2
Refer to the following exhibit:

What is a correct interpretation of this graph?

A. The association between the continuous predictor and the binary response is quadratic. B. The association between the continuous predictor and the continuous response is quadratic. C. The association between the continuous predictor and the log-odds is quadratic. D. The association between the binary predictor and the log-odds is quadratic.

Correct Answer: C

QUESTION NO: 3
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

A. More high value customers are found in some regions than others. B. Regions with higher average purchases have more high value customers. C. The difference between average purchases for medium and high value customers depends on the region. D. Regions with higher average purchases have more medium value customers.

Correct Answer: C

QUESTION NO: 4
Screening for non-linearity in binary logistic regression can be achieved by visualizing:

A. A scatter plot of binary response versus a predictor variable. B. A trend plot of empirical logit versus a predictor variable. C. A logistic regression plot of predicted probability values versus a predictor variable. D. A box plot of the odds ratio values versus a predictor variable.

Correct Answer: B

QUESTION NO: 5
Given the following output from the LOGISTIC procedure:

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

A. Greatest: MBALeast: CASH B. Greatest: DOWN_AMTLeast: HOME C. Greatest: DOWN_AMTLeast: CASH D. Greatest: MBALeast: DOWN_AMT

Correct Answer: C

QUESTION NO: 6
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and
60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:

What X and Y values should be added to the program to correctly score the data?

A. X=.10, Y=05 B. X=.05, Y=10 C. X=40, Y=10 D. X=.05, Y=.40

Correct Answer: B

QUESTION NO: 7
What is the default method in the LOGISTIC procedure to handle observations with missing data?

A. Missing values are imputed. B. Parameter estimates are made on all available data. C. Parameters are estimated accounting for the missing values. D. Only cases with variables that are fully populated are used.

Correct Answer: D

QUESTION NO: 8
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?

A. Concordant and discordant pairs of ranked observations B. Logit link (log (p/1-p)) C. Rank-ordered values of the variables D. Weighted sum of chi-square statistics for 2x2 tables

Correct Answer: C

QUESTION NO: 9
Refer to the confusion matrix:

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

A. Accuracy = 83/102, Error Rate = 67/102 B. Accuracy = 58/102, Error Rate = 23/48 C. Accuracy = 83/150, Error Rate = 67/150 D. Accuracy = 25/150, Error Rate = 44/150

Correct Answer: B

QUESTION NO: 10
Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.
Which plot do you use to identify influential observations?

A. Residual by Predicted B. Cook's D by Observation C. Residual by Quantile D. Fit - Mean and Residual Plot

Correct Answer: B

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential - A00-240 Exam Questions