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A00-240 · Question #50

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…

The correct answer is C. Solution. In PROC GLM, when a CLASS statement is used, SAS suppresses parameter estimates by default because the model is not full rank (the dummy-coded design matrix is singular). Adding the SOLUTION option to the MODEL statement explicitly tells SAS to display the parameter estimates…

Regression Models

Question

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? proc glm data=sales_spring; class region; model finalsales = region / <insert option here>; run; quit;

Options

  • ASolve
  • BEstimate
  • CSolution
  • DEst

How the community answered

(38 responses)
  • A
    3% (1)
  • B
    3% (1)
  • C
    87% (33)
  • D
    8% (3)

Explanation

In PROC GLM, when a CLASS statement is used, SAS suppresses parameter estimates by default because the model is not full rank (the dummy-coded design matrix is singular). Adding the SOLUTION option to the MODEL statement explicitly tells SAS to display the parameter estimates for each level of the classification variable, which is exactly what the analyst needs.

Why the distractors are wrong:

  • A. SOLVE - not a valid PROC GLM model option; SAS will throw an error.
  • B. ESTIMATE - ESTIMATE is a valid statement in PROC GLM (used for custom contrasts), but it is not a model option, so placing it after the / here is incorrect.
  • D. EST - not a recognized abbreviation; SAS does not accept this shorthand for SOLUTION.

Memory tip: Think of it as asking SAS to show you the solution to the regression system - you need the full SOLUTION keyword, spelled out, because SAS won't abbreviate it for you when the model is overparameterized.

Topics

#PROC GLM#SOLUTION option#Parameter estimates#Regression coefficients

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