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

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

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This question will ask you to provide a missing option.
A business analyst is investigating the differences in sales figures across 8 sales regions. The analyst is interested in viewing the regression equation parameter estimates for each of the design variables.
Which option completes the program to produce the regression equation parameter estimates?

• A.Solution
• B.Estimate
• C.Solve
• D.Est

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In order to perform honest assessment on a predictive model, what is an acceptable division between
training, validation, and testing data?

• A.Training: 50% Validation: 0% Testing: 50%
• B.Training: 50% Validation: 50% Testing: 0%
• C.Training: 100% Validation: 0% Testing: 0%
• D.Training: 0% Validation: 100% Testing: 0%

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This question will ask you to provide a missing option.
Given the following SAS program:

What option must be added to the program to obtain a data set containing Spearman statistics?

• A.OUTCORR=estimates
• B.OUTS=estimates
• C.OUT=estimates
• D.OUTPUT=estimates

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