[Oct 08, 2026] Get Unlimited Access to A00-240 Certification Exam Cert Guide
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SASInstitute A00-240 exam is a valuable credential for those who want to enhance their career prospects in the field of statistical analysis. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification demonstrates mastery of the statistical concepts and techniques required to perform data modeling and regression analysis using SAS software. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification is recognized globally and is highly respected in the industry, making it a valuable asset for professionals seeking to advance their careers.
To be eligible to take the SASInstitute A00-240 exam, candidates should have a basic understanding of statistics and regression analysis. They should also have experience using SAS software and familiarity with statistical concepts such as hypothesis testing, confidence intervals, and probability distributions. Candidates should also have practical experience analyzing data and building regression models using SAS software.
NEW QUESTION # 58
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 R-Square champion model is the most parsimonious.
- B. Adjusted R-Square and R-Square agree on the champion model.
- C. The SBC champion model is more parsimonious than the AIC champion.
- D. The AIC champion model is more parsimonious than the SBC champion.
Answer: C
NEW QUESTION # 59
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S),
medium (M), and large (L) wrist sizes?
- A. Large wrist size is significantly different than medium wrist size.
- B. Medium wrist size is significantly different than small wrist size.
- C. There is no significant difference due to wrist size.
- D. Large wrist size is significantly different than small wrist size.
Answer: D
NEW QUESTION # 60
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 number of cases in each zip_code as input.
- B. Clustering the levels using dummy coded zip_code levels as inputs.
- C. Clustering the levels using the target proportion for each zip_code as input.
- D. Clustering the levels using the zip_code values as input.
Answer: C
NEW QUESTION # 61
Given the following LOGISTIC procedure:
What is the difference between the datasets OUTFILEJ and OUTFILE_2?
- A. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
- B. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.
- C. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
- D. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
Answer: C
NEW QUESTION # 62
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?
- A. Option A
- B. Option C
- C. Option B
- D. Option D
Answer: C
NEW QUESTION # 63
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 Pearson statistics?
- A. OUTPUT=estimates
- B. OUTSTAT=estimates
- C. OUTCORR=estimates
- D. OUTP=estimates
Answer: D
NEW QUESTION # 64
Screening for non-linearity in binary logistic regression can be achieved by visualizing:
- A. A box plot of the odds ratio values versus a predictor variable.
- B. A trend plot of empirical logit versus a predictor variable.
- C. A scatter plot of binary response versus a predictor variable.
- D. A logistic regression plot of predicted probability values versus a predictor variable.
Answer: B
NEW QUESTION # 65
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 @2;
- D. Mode1 Purchase * Gender|Age|Region @1;
Answer: A,D
NEW QUESTION # 66
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: DOWN_AMT
Least: CASH - B. Greatest: MBA
Least: CASH - C. Greatest: DOWN_AMT
Least: HOME - D. Greatest: MBA
Least: DOWN_AMT
Answer: A
NEW QUESTION # 67
Which SAS program will detect collinearity in a multiple regression application?
- A. Option A
- B. Option C
- C. Option B
- D. Option D
Answer: C
NEW QUESTION # 68
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression
model.
What will be the result?
- A. A decrease in Mean Square Error
- B. A decrease in R-Square
- C. An increase in R-Square
- D. No change in R-Square
Answer: C
NEW QUESTION # 69
PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:
At Step 9 number of at bats (nAtBat) was removed from the model.
Why was it removed?
- A. The p-Value for nAtBat was largest.
- B. Removing nAtBat had the largest effect on the parameter estimate of nHits.
- C. Removing nAtBat yielded the largest improvement to SBC.
- D. The p-Value for nAtBat was smallest.
Answer: A
NEW QUESTION # 70
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 @2;
- D. Mode1 Purchase * Gender|Age|Region @1;
Answer: A,D
NEW QUESTION # 71
Refer to the exhibit:
Which SAS program produced the graph?
- A.
- B.
- C.
- D.
Answer: C
Explanation:
Explanation/Reference: https://support.sas.com/resources/papers/proceedings/proceedings/sugi31/210-31.pdf
NEW QUESTION # 72
The total modeling data has been split into training, validation, and test data.
What is the best data to use for model assessment?
- A. Training data
- B. Validation data
- C. Test data
- D. Total data
Answer: B
NEW QUESTION # 73
The Model SS in a multiple linear regression model is equal to:
- A. the sum of Type I SS of all model terms
- B. the sum of SSE and MSE
- C. the sum of Type II SS of all model terms
- D. the total SS- MSE
Answer: A
NEW QUESTION # 74
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 top 10% of the population scored by the model should result in 3.14 timesgreater accuracy than a random draw of 10%.
- C. 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%.
- D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.
Answer: A
NEW QUESTION # 75
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The SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential is a certification that is offered by SAS Institute. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification is designed for individuals who work in the field of statistical analysis and modeling using SAS software. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential certification focuses on regression and modeling techniques and is highly valued by employers in the field.
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