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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. In logistic regression, which variable is typically designated as the "event" variable (binary)?
A) The response variable indicating the event occurrence
B) The predictor variable with the highest p-value
C) The intercept term in the model
D) The predictor variable with the lowest p-value
2. When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?
A) Principal Component Analysis (PCA)
B) K-means
C) Linear Regression
D) Decision Tree
3. What is the primary purpose of scoring functionality in SAS Visual Statistics?
A) To assess the distribution of predictor variables
B) To select the best model for a given dataset
C) To generate code for deploying models in production
D) To evaluate model performance on a test dataset
4. How can you interpret model results using the advanced group-by feature in SAS Visual Analytics?
A) Review the model coefficients for each level of the group-by variable
B) Explore interaction effects between the group-by variable and other predictors
C) Visualize the predicted values for each level of the group-by variable
D) Analyze the impact of different levels of the group-by variable on the model outcome
5. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?
A) Running a SQL query to generate predictions
B) Converting the code to a macro for automation
C) Opening the code file and manually executing it
D) Dragging and dropping the score code file into the project
Solutions:
Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: A,B,C,D | Question # 5 Answer: C,D |