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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which of the following are common distributions used in generalized linear models?

A) Exponential
B) Logistic
C) Normal
D) Poisson

2. What properties can be assigned when comparing models in SAS Visual Statistics?

A) The color scheme for visualization
B) The learning rate for gradient boosting models
C) The number of observations in the dataset
D) The variables to include in the model comparison

3. 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 stability of model predictions
D) The distribution of residuals in the models

4. What is the primary purpose of modeling effects in linear regression?

A) To calculate the p-values of the predictors
B) To capture the relationship between predictors and the response variable
C) To identify outliers in the data
D) To assess multicollinearity among predictors

5. How can you appropriately change the number of clusters in a k-means cluster analysis?

A) By adjusting the learning rate
B) By increasing the number of iterations
C) By modifying the random seed
D) By changing the K-value

Solutions: