SAS Statistical Business Analysis Using SAS 9: Regression and Modeling Free Practice Exam Questions

10 real SAS Statistical Business Analysis Using SAS 9: Regression and Modeling exam questions with answers and AI explanations. SAS Institute certification prep — page 1 of 1.

1. Question 5: After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all other…
2. Question 6: There are missing values in the input variables for a regression application. Which SAS procedure provides a viable solution?
3. Question 14: While building a predictive model, median imputations are performed while preparing the training data. How should the imputations be addressed in the validatio…
4. Question 19: An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment durin…
5. Question 21: Which characteristic of Studentized residuals indicate potential outliers?
6. Question 23: When working with smaller data sets (N<200), which method is preferred to perform honest assessment?
7. Question 24: Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
8. Question 25: A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the…
9. Question 27: When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputa…
10. Question 29: Which of the following describes a concordant pair of observations in the LOGISTIC procedure?