Free SAS Institute A00-225 Exam Questions
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SAS Institute A00-225 Exam Questions
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Provided By: SAS Institute
- Exam: SAS Advanced Predictive Modeling
- Certification: SAS Administration
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Total Questions: 347
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Updated On: Jun 03, 2025
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Rated: 4.9 |
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Online Users: 694
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Question 1
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When integrating SAS and R to perform advanced predictive modeling, it's crucial to correctly set up the SAS environment to communicate with R. Assuming that the R software is properly installed on the same machine as SAS, which of the following steps is essential to allow SAS to properly connect to and execute R scripts?
Answer: A
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Question 2
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You are evaluating the relationship between a binary target variable and a continuous predictor variable using an empirical logit plot. The plot shows that for low values of the predictor, the logit of the target variable is also low, and as the predictor value increases, the logit of the target variable increases linearly. However, for high values of the predictor, the logit of the target variable levels off, forming an S-shape. Which of the following interpretations is correct?
Answer: C
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You are evaluating the relationship between a binary target variable and a continuous predictor variable using an empirical logit plot. The plot shows that for low values of the predictor, the logit of the target variable is also low, and as the predictor value increases, the logit of the target variable increases linearly. However, for high values of the predictor, the logit of the target variable levels off, forming an S-shape. Which of the following interpretations is correct?
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Question 3
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You have developed a linear regression model to predict home prices based on various features such as square footage, number of bedrooms, and location. Which of the following summary statistics would best allow you to assess the overall fit of your linear regression model?
Answer: B
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You have developed a linear regression model to predict home prices based on various features such as square footage, number of bedrooms, and location. Which of the following summary statistics would best allow you to assess the overall fit of your linear regression model?
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Question 4
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When preparing input data for a predictive model, which of the following issues is likely to cause the most significant problems in the performance of the model?
Answer: C
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Question 5
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In an R code node within SAS Enterprise Miner, the project variable handle is used to access a data set. Which variable handle correctly imports the data for analysis in the R environment?
Answer: A
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