SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 1:

  Given the following GLM procedure output:

  

  Which statement is correct at an alpha level of 0.05?

  A. School*Gender should be removed because it is non-significant.
  B. Gender should be removed because it is non-significant.
  C. School should be removed because it is significant.
  D. Gender should not be removed due to its involvement in the significant interaction.
  D. Gender should not be removed due to its involvement in the significant interaction.

• Question 2:

  Refer to the confusion matrix:

  

  Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.

  A. 25/48
  B. 58/102
  C. 25/B9
  D. 58/81
  A. 25/48

• Question 3:

  An analyst compares the mean salaries of men and women working at a company. The SAS data set SALARY contains variables:

  1.

  Gender (M or F)

  2.

  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.)

  

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

• Question 4:

  The PROC LOGISTIC options SELECTION=SCORE and BEST=2 are used in a MODEL statement to generate a series of predictive models. The models are assigned numbers in order from 1 to 99 reflecting the fact that there are 50 candidate input variables. Results from the collection of derived models are used to generate the following plot of overall average profit by model number. Results are restricted to models with at least 9 inputs and at most 40 inputs.

  

  The maximum value for the training data occurs for model number 46, and the maximum value for the validation data occurs for model number 43. If you base model selection solely on overall average profit, what is the correct choice?

  A. Select model 46
  B. Select model 43
  C. Select model 45
  D. Select model 21
  B. Select model 43

• Question 5:

  An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.

  What is the correct application of Greenacre's method in this situation?

  A. Clustering the levels using the target proportion for each zip_code as input.
  B. Clustering the levels using the zip_code values as input.
  C. Clustering the levels using the number of cases in each zip_code as input.
  D. Clustering the levels using dummy coded zip_code levels as inputs.
  A. Clustering the levels using the target proportion for each zip_code as input.

• Question 6:

  Refer to the REG procedure output:

  

  The Intercept estimate is interpreted as:

  A. The predicted value of the response when all the predictors are at their current values.
  B. The predicted value of the response when all predictors are at their means.
  C. The predicted value of the response when all predictors = 0.
  D. The predicted value of the response when all predictors are at their minimum values.
  C. The predicted value of the response when all predictors = 0.

• Question 7:

  Select the equivalent LOGISTIC procedure model statements. (Choose two.)

  A. Mode1 Purchase * Gender Age Region;
  B. Mode1 Purchase * Gender | Age | Region;
  C. Mode1 Purchase * Gender|Age|Region @1;
  D. Mode1 Purchase * Gender|Age|Region @2;
  A. Mode1 Purchase * Gender Age Region;
  C. Mode1 Purchase * Gender|Age|Region @1;

• Question 8:

  A linear model has the following characteristics:

  1.

  A dependent variable (y)

  2.

  Three continuous predictor variables (x1-x3)

  3.

  One categorical predictor variable (c1 with 3 levels) Which SAS program fits this model?

  

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

• Question 9:

  Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

  A. Adjusted R Square
  B. Mallow's Cp
  C. Chi Square
  D. Average Squared Error
  D. Average Squared Error

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