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A00-240 Real Exam Questions

SAS Statistical Business Analysis Using SAS 9: Regression and Modeling

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Question 1 Single choice

A confusion matrix is created for data that were oversampled due to a rare target.

What values are not affected by this oversampling?

  1. A

    Sensitivity and PV+

  2. B

    Specificity and PV-

  3. C

    PV+ and PV-

  4. D

    Sensitivity and Specificity

Show answer and explanation

Correct answer: D

Question 2 Fill in the blank

FILL BLANK

Refer to the REG procedure output:

How many observations are used in the analysis? Enter your numeric answer in the space below.

Show answer and explanation

Accepted answer: 100

Question 3 Single choice

Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

  1. A

    All groups are significantly different from each other.

  2. B

    2XL is significantly different from all other groups.

  3. C

    Only XL and 2XL are not significantly different from each other.

  4. D

    No groups are significantly different from each other.

Show answer and explanation

Correct answer: C

Question 4 Single choice

Refer to the exhibit:

An analyst examined logistic regression models for predicting whether a customer would make a purchase. The ROC curve displayed summarizes the models. Using the selected model and the analyst's decision rule, 25% of the customers who did not make a purchase are incorrectly classified as purchasers.

What can be concluded from the graph?

  1. A

    About 25% of the customers who did make a purchase are correctly classified as making a purchase.

  2. B

    About 50% of the customers who did make a purchase are correctly classified as making a purchase.

  3. C

    About 85% of the customers who did make a purchase are correctly classified as making a purchase.

  4. D

    About 95% of the customers who did make a purchase are correctly classified as making a purchase.

Show answer and explanation

Correct answer: C

Question 5 Single choice

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

  1. A

    All parameter estimates are biased.

  2. B

    Only the intercept estimate is biased.

  3. C

    Only the non-intercept parameter estimates are biased.

  4. D

    Sensitivity estimates are biased.

Show answer and explanation

Correct answer: B

Question 6 Single choice

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.

Why was it removed?

  1. A

    Removing nAtBat had the largest effect on the parameter estimate of nHits.

  2. B

    The p-Value for nAtBat was largest.

  3. C

    Removing nAtBat yielded the largest improvement to SBC.

  4. D

    The p-Value for nAtBat was smallest.

Show answer and explanation

Correct answer: B

Question 7 Single choice

A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.

What is the profit matrix for a typical person in the population?

  1. A

    Option A

  2. B

    Option B

  3. C

    Option C

  4. D

    Option D

Show answer and explanation

Correct answer: C

Question 8 Multiple choice

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.)

  1. A

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

  2. B

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

  3. C

    Use subject matter expertise to combine stores that are similar.

  4. D

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

Show answer and explanation

Correct answers: B, C

Question 9 Single choice

A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.

The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.

It has the following characteristics:
1. Target variable Respond (0, 1)
2. Continuous predictor Income
3. Categorical predictor Homeowner(Y, N)

Which SAS program performs this analysis?

  1. A

    Option A

  2. B

    Option B

  3. C

    Option C

  4. D

    Option D

Show answer and explanation

Correct answer: A

Question 10 Single choice

Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

  1. A

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

  2. B

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

  3. C

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

  4. D

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

Show answer and explanation

Correct answer: B