A00-240 SAS Institute SAS Statistical Business Analysis SAS9: Regression and Model Free Practice Exam Questions (2025 Updated)
Prepare effectively for your SAS Institute A00-240 SAS Statistical Business Analysis SAS9: Regression and Model certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.
Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
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 imputation?
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
A linear model has the following characteristics:
• A dependent variable (y)
• One continuous variable (x1)
• One categorical (с1 with 3 levels) predictor variable and an interaction term (с1 by x1)
How many parameters, including the intercept, will be estimated for this model?
Enter your numeric answer in the space below.
Refer to the REG procedure output:
An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?
A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.
What will be the result?
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.
The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC.
Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)
The total modeling data has been split into training, validation, and test data.
What is the best data to use for model assessment?
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)
This question will ask you to provide a segment of missing code.
The following code is used to create missing value indicator variables for input variables, fred1 to fred7.
Which segment of code would complete the task?
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 AIC statistic, which model is the champion model?
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
The selection criterion used in the forward selection method in the GLMSELECT procedure is:
Screening for non-linearity in binary logistic regression can be achieved by visualizing:
The standard form of a linear regression model is:
Which statement best summarizes the assumptions placed on the errors?
The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.
What is the estimated logit for a person with large wrist size?
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Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase. The following is the output from the GLM procedure:
What percentage of customers' intent to purchase is explained by market segment?
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