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  • A00-240: SAS Statistical Business Analysis SAS9: Regression and Model

SAS A00-240 Exam Questions

Exam Name: SAS Statistical Business Analysis SAS9: Regression and Model
Exam Code: A00-240
Related Certification(s): SAS Certified Statistical Business Analyst Certification
Certification Provider: SAS
Actual Exam Duration: 120 Minutes
Number of A00-240 practice questions in our database: 99 (updated: Mar. 01, 2025)
Expected A00-240 Exam Topics, as suggested by SAS :
  • Topic 1: Identify the potential challenges when preparing input data for a model/ Detect and analyze interactions between factors
  • Topic 2: Model selection and validation using training and validation data/ Perform ANOVA post hoc test to evaluate treatment effect
  • Topic 3: Establish effective decision cut-off values for scoring/ Fit a multiple linear regression model using the REG and GLM procedures
  • Topic 4: Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection/ Use the REG or GLMSELECT procedure to perform model selection
  • Topic 5: Screen variables for irrelevance and non-linear association using the CORR procedure/ Perform logistic regression with the LOGISTIC procedure
  • Topic 6: Screen variables for non-linearity using empirical logit plots/ Score new data sets using the LOGISTIC and PLM procedures
  • Topic 7: Apply the principles of honest assessment to model performance measurement/ Optimize model performance through input selection
  • Topic 8: Analyze differences between population means using the GLM and TTEST procedures/ Assess classifier performance using the confusion matrix
  • Topic 9: Assess the validity of a given regression model through the use of diagnostic and residual analysis/ Prepare Inputs for Predictive Model Performance
  • Topic 10: Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models/ Improve the predictive power of categorical inputs
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Lavelle

13 days ago
Just passed the exam! The questions on model assumptions were crucial. Make sure you understand normality, linearity, and homoscedasticity in depth.
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Lorrine

19 days ago
SAS certified! Pass4Success made exam prep efficient and effective.
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Tamesha

1 months ago
Anyone have tips for time series analysis questions? I'm focusing on autocorrelation and forecasting methods.
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Katie

1 months ago
Excited to say I passed the SAS9 exam. There was a tricky question on measuring model performance that asked about the importance of precision and recall in a classification model. I was unsure about the trade-offs, but the practice questions from Pass4Success were very helpful.
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Micheline

2 months ago
Pass4Success really helped me grasp interaction effects in regression models. The exam had a few tricky questions on this topic.
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Claribel

2 months ago
Couldn't have passed the SAS exam without Pass4Success. Their practice tests were key!
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Kiera

2 months ago
How detailed were the questions on hypothesis testing? I'm reviewing t-tests and F-tests in the context of regression analysis.
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Ammie

2 months ago
I passed the SAS Statistical Business Analysis SAS9 exam! One tough question was about ANOVA, asking how to interpret the p-value in a two-way ANOVA test. I was a bit uncertain about the interaction effects, but Pass4Success practice questions made it clearer.
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Kiley

2 months ago
The exam had several questions on residual analysis. Make sure you can interpret residual plots and identify potential issues like heteroscedasticity.
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Rikki

3 months ago
Aced the SAS Regression and Model exam! Pass4Success questions were incredibly similar to the real thing.
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Renay

3 months ago
Happy to share that I passed the SAS9 exam! A challenging question on preparing inputs for predictive model performance asked about the best way to handle outliers. I wasn't sure whether to remove them or transform them, but the practice questions from Pass4Success provided great insights.
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Tenesha

3 months ago
Struggling with multicollinearity concepts. Any advice on how to detect and address it in regression models?
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Solange

3 months ago
I successfully passed the SAS Statistical Business Analysis SAS9 exam. One question that caught me off guard was about linear regression, specifically asking how to interpret the coefficients in a multiple regression model. I was a bit confused about the interaction terms, but Pass4Success practice questions helped me get through.
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Pamella

3 months ago
Thanks to Pass4Success for their exam prep materials! The practice questions on model selection techniques really helped me understand stepwise, forward, and backward selection methods.
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Bobbye

4 months ago
SAS certification achieved! Pass4Success materials were a lifesaver for quick study.
upvoted 0 times
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Barbra

4 months ago
Thrilled to announce that I passed the SAS9 exam! There was a question on logistic regression that asked about the interpretation of odds ratios. I wasn't entirely confident about the log-odds transformation, but the practice questions from Pass4Success were a lifesaver.
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Mila

4 months ago
Congrats on passing! How were the questions on ANOVA? I'm reviewing sum of squares and degrees of freedom, hoping it's enough.
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Veronique

4 months ago
I passed the SAS Statistical Business Analysis SAS9 exam with flying colors. One challenging question was about measuring model performance, specifically asking how to interpret the ROC curve. I was confused about the area under the curve (AUC) but managed to figure it out with the help of Pass4Success practice materials.
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Kimbery

5 months ago
Preparing for the exam now. Any tips on logistic regression? I'm struggling with odds ratios and their interpretation.
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Robt

5 months ago
Whew, that SAS exam was tough! Grateful for Pass4Success helping me prep in record time.
upvoted 0 times
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Farrah

5 months ago
Just cleared the SAS9 exam! There was a tricky question on ANOVA that asked about interpreting the F-statistic in a one-way ANOVA test. I was a bit unsure about the critical value comparison, but the practice questions from Pass4Success really helped me understand the concept better.
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Becky

5 months ago
Just passed the SAS Statistical Business Analysis exam! The questions on multiple linear regression were challenging. Make sure you understand how to interpret coefficient estimates and their significance.
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Glen

5 months ago
I recently passed the SAS Statistical Business Analysis SAS9 exam, and it was quite the journey. One question that stumped me was about how to prepare inputs for predictive model performance. It asked about the best practices for handling missing values in a dataset. I wasn't entirely sure if I should use mean imputation or some other method, but thanks to Pass4Success practice questions, I managed to get through.
upvoted 0 times
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Shaun

6 months ago
Just passed the SAS Statistical Business Analysis exam! Thanks Pass4Success for the spot-on practice questions.
upvoted 0 times
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Linn

6 months ago
Thanks to Pass4Success practice questions, I was able to pass the SAS Statistical Business Analysis SAS9: Regression and Model exam. The exam included topics on preparing input data for a model and conducting ANOVA post hoc tests. One question that I found tricky was about identifying potential challenges when preparing input data for a model and how to address them effectively.
upvoted 0 times
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Vilma

7 months ago
My exam experience was successful as I passed the SAS Statistical Business Analysis SAS9: Regression and Model exam. With the assistance of Pass4Success practice questions, I was able to navigate through topics like model selection and validation using training and validation data. One question that challenged me was about performing ANOVA post hoc tests to evaluate treatment effects and determining the significance of the results.
upvoted 0 times
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Hubert

8 months ago
Just passed the SAS Statistical Business Analysis exam! One tricky area was interpreting ANOVA output for multiple regression models. Make sure you can explain F-statistics and p-values. Thanks to Pass4Success for the spot-on practice questions that helped me prepare efficiently!
upvoted 0 times
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Kathrine

8 months ago
I passed the SAS Statistical Business Analysis SAS9: Regression and Model exam with the help of Pass4Success practice questions. The exam covered topics such as preparing input data for a model and analyzing interactions between factors. One question that stood out to me was related to detecting interactions between factors and how to interpret them in a regression model.
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Free SAS A00-240 Exam Actual Questions

Note: Premium Questions for A00-240 were last updated On Mar. 01, 2025 (see below)

Question #1

While building a predictive model, median imputations are performed while preparing the training data.

How should the imputations be addressed in the validation data?

Reveal Solution Hide Solution
Correct Answer: C

Question #2

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?

Reveal Solution Hide Solution
Correct Answer: C

Question #3

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?

Reveal Solution Hide Solution
Correct Answer: D

Question #4

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?

Reveal Solution Hide Solution
Correct Answer: C

Question #5

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

Reveal Solution Hide Solution
Correct Answer: B

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