The SAS A00-240 - SAS Statistical Business Analysis SAS9: Regression and Model exam is part of the SAS Certified Statistical Business Analyst certification path. It is designed for candidates who want to prove their ability to build, evaluate, and interpret statistical models using SAS. This exam matters for professionals who work with regression analysis and predictive modeling because it validates practical skills that are widely used in business analytics.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | ANOVA | One-way ANOVA, hypothesis testing, group comparison, interpreting F-statistics | 15% |
| 2 | Linear Regression | Simple regression, multiple regression, parameter estimation, model assumptions | 30% |
| 3 | Logistic Regression | Binary outcomes, odds ratios, model fitting, classification interpretation | 20% |
| 4 | Prepare Inputs for Predictive Model Performance | Data partitioning, input selection, variable preparation, scoring readiness | 15% |
| 5 | Measure Model Performance | Accuracy metrics, lift and ROC concepts, validation results, model comparison | 20% |
This exam tests both conceptual understanding and practical application of SAS regression and model evaluation techniques. Candidates should be able to interpret outputs, select suitable methods, and understand how to prepare and assess predictive models. Strong familiarity with the listed topics and the ability to apply them in exam scenarios are essential for success.
QA4Exam.com offers the Exam PDF with actual questions and answers, along with an Online Practice Test for the SAS A00-240 exam. These resources help you study with up-to-date questions, verified answers, and a format that mirrors the real exam experience. The practice test is especially useful for building confidence and improving time management under exam pressure. By using both formats together, you can review core concepts, test your readiness, and prepare more effectively for a first-attempt pass.
It is intended for candidates pursuing the SAS Certified Statistical Business Analyst certification and for professionals working with regression and model-based analytics.
The exam can be challenging because it covers both theory and practical interpretation of SAS statistical modeling topics. Good preparation makes a major difference.
Braindumps alone are not the best approach. You should use them with study and review so you understand the concepts behind the answers.
Hands-on experience is helpful because the exam focuses on regression, logistic regression, ANOVA, and model performance concepts that are easier to understand with practice.
The Exam PDF and Online Practice Test are strong preparation tools, but the best results come from combining them with topic review and careful understanding of the material.
They help you learn the question style, verify answers, and practice time management so you can approach the real exam with more confidence.
The product includes an Exam PDF with questions and answers and an Online Practice Test that simulates the exam experience.
The selection criterion used in the forward selection method in the REG procedure is:
Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).
The following SAS program was used.

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

Refer to the following odds ratio table:

What is a correct interpretation of the estimate?
Refer to the confusion matrix:

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