SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 41:

  The question will ask you to provide a missing statement. Given the following SAS program: Which SAS statement will complete the program to correctly score the data set NEW_DATA?

  

  A. Score data data=MYDIR.NEW_DATA out=scores;
  B. Score data data=MYDIR.NEW_DATA output=scores;
  C. Score data=HYDIR.NEU_DATA output=scores;
  D. Score data=MYDIR, NEW DATA out=scores;
  D. Score data=MYDIR, NEW DATA out=scores;

• Question 42:

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

• Question 43:

  Refer to the exhibit:

  

  The box plot was used to analyze daily sales data following three different ad campaigns. The business analyst concludes that one of the assumptions of ANOVA was violated.

  Which assumption has been violated and why?

  A. Normality, because Prob > F < .0001.
  B. Normality, because the interquartile ranges are different in different ad campaigns.
  C. Constant variance, because Prob > F < .0001.
  D. Constant variance, because the interquartile ranges are different in different ad campaigns.
  D. Constant variance, because the interquartile ranges are different in different ad campaigns.

• Question 44:

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

  A. An increase in R-Square
  B. A decrease in R-Square
  C. A decrease in Mean Square Error
  D. No change in R-Square
  B. A decrease in R-Square

• Question 45:

  What does the Pearson product moment correlation coefficient measure?

  A. nonlinear and nonmonotonic association between two variables
  B. linear and monotonic association between two variables
  C. linear and nonmonotonic association between two variables
  D. nonlinear and monotonic association between two variables
  B. linear and monotonic association between two variables

• Question 46:

  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.)

  A. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
  B. Cluster by using Greenacre's method to combine stores that are similar.
  C. Use subject matter expertise to combine stores that are similar.
  D. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
  B. Cluster by using Greenacre's method to combine stores that are similar.
  C. Use subject matter expertise to combine stores that are similar.

• Question 47:

  In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

  A. Simple random sampling without replacement
  B. Simple random sampling with replacement
  C. Stratified random sampling without replacement
  D. Sequential random sampling with replacement
  A. Simple random sampling without replacement
  C. Stratified random sampling without replacement

• Question 48:

  The Model SS in a multiple linear regression model is equal to:

  A. the total SS- MSE
  B. the sum of Type I SS of all model terms
  C. the sum of Type II SS of all model terms
  D. the sum of SSE and MSE
  B. the sum of Type I SS of all model terms

• Question 49:

  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: MBA Least: DOWN_AMT
  B. Greatest: MBA Least: CASH
  C. Greatest: DOWN_AMT Least: CASH
  D. Greatest: DOWN_AMT Least: HOME
  C. Greatest: DOWN_AMT Least: CASH

• Question 50:

  Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis. Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?

  A. sliceby Gender / adjust=tukey;
  B. slice Income*Gender / sliceby=Gender adjust=tukey;
  C. slice Income*Gender / sliceby=Income adjust=tukey;
  D. sliceby Income / adjust=tukey;
  D. sliceby Income / adjust=tukey;