SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential - A00-240 Exam Practice Test

What is the default method in the LOGISTIC procedure to handle observations with missing data?

Which SAS program will detect collinearity in a multiple regression application?

Refer to the confusion matrix:

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

Which SAS program will best identify influential observations in a multiple regression application?

Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).

A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.
For which of the following would this study be a candidate?

Refer to the exhibit.

Output from a multiple linear regression analysis is shown.
What is the most appropriate statement concerning collinearity between the input variables?

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?