SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 71:

  Refer to the lift chart:

  

  At a depth of 0.1, Lift = 3.14. What does this mean?

  A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.
  B. Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.
  C. Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.
  D. Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.
  A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

• Question 72:

  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. The difference between average purchases for medium and high value customers depends on the region.
  C. Regions with higher average purchases have more high value customers.
  D. Regions with higher average purchases have more medium value customers.
  B. The difference between average purchases for medium and high value customers depends on the region.

• Question 73:

  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?

  A. There is quasi-complete separation in the data.
  B. There is collinearity among the predictors.
  C. There are missing values in the data.
  D. There are too many observations in the data.
  A. There is quasi-complete separation in the data.

• Question 74:

  The selection criterion used in the forward selection method in the GLMSELECT procedure is:

  A. RSQ
  B. MSE
  C. R-squared
  D. AIC
  D. AIC

• Question 75:

  A predictive model uses a data set that has several variables with missing values. What two problems can arise with this model? (Choose two.)

  A. The model will likely be overfit.
  B. There will be a high rate of collinearity among input variables.
  C. Complete case analysis means that fewer observations will be used in the model building process.
  D. New cases with missing values on input variables cannot be scored without extra data processing.
  C. Complete case analysis means that fewer observations will be used in the model building process.
  D. New cases with missing values on input variables cannot be scored without extra data processing.

• Question 76:

  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?

  A. The AIC champion model is more parsimonious than the SBC champion.
  B. The SBC champion model is more parsimonious than the AIC champion.
  C. The R-Square champion model is the most parsimonious.
  D. Adjusted R-Square and R-Square agree on the champion model.
  B. The SBC champion model is more parsimonious than the AIC champion.

• Question 77:

  Which SAS program will detect collinearity in a multiple regression application?

  

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

• Question 78:

  Refer to the exhibit.

  

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

  A. All groups are significantly different from each other.
  B. 2XL is significantly different from all other groups.
  C. Only XL and 2XL are not significantly different from each other.
  D. No groups are significantly different from each other.
  C. Only XL and 2XL are not significantly different from each other.

• Question 79:

  This question will ask you to provide a missing option.

  Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:

  means Region / =levene ;

  A. test
  B. adjust
  C. var
  D. hovtest
  D. hovtest

• Question 80:

  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?

  

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