Exam Name: Modeling Using SAS Visual Statistics
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Interpretation | - Interpreting model outputs and reports - Assessing model performance |
| Data Preparation and Exploration in SAS Viya | - Loading and preparing data for Visual Statistics - Exploratory data analysis and visualization |
| Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
| Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Refer to the exhibit:
Which is the modeling approach that should be used when fitting the Target Gift Amount variable?
- A. Logistic regression model.
- B. Linear regression model with Interaction effects.
- C. Generalized linear model with a Poisson distribution and Identity link.
- D. Generalized linear model with a Normal distribution and Log Link.
Correct Answer: D 🗳️
What information is conveyed by a Summary bar in model assessment?
- A. The standard deviation of the predictor variables
- B. The distribution of residuals in the model
- C. The performance metrics of the model, such as AUC and KS Statistic
- D. The summary statistics of the response variable
Correct Answer: C 🗳️
When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?
- A. Log
- B. Negative Binomial
- C. Poisson
- D. Gaussian
Correct Answer: A 🗳️
What does a ROC chart help assess in model comparison?
- A. The trade-off between true positives and false positives at different thresholds
- B. The correlation between predictor variables
- C. The distribution of residuals in the models
- D. The stability of model predictions
Correct Answer: A 🗳️
What is the primary purpose of assigning variable roles in linear regression?
- A. To specify which variables are categorical and which are continuous
- B. To indicate which variables are predictors and which are responses
- C. To determine the order in which variables are entered into the model
- D. To determine the level of significance for each variable
Correct Answer: A 🗳️
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