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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. In generalized linear models, what is the purpose of the link function?
A) To adjust the model for multicollinearity
B) To calculate the p-values of predictor variables
C) To specify the relationship between the predictor and response variables
D) To determine the distribution of the response variable
2. What conditions might make models less comparable in SAS Visual Statistics?
A) If they use the same dataset and response variable
B) If they have different learning rates
C) If they are both logistic regression models
D) If they have similar AUC values
3. During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?
A) parallel coordinates plot
B) score code
C) cluster matrix plot
D) cluster summary table
4. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?
A) Specification of a spline effect is optional.
B) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.
C) GAM assumes a strict linear relationship between the predictors and the response function.
D) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
5. Which statement is true regarding model comparison within SAS Visual Statistics?
A) Two generalized linear models cannot be compared if they use different underlying distributions.
B) Two cluster analyses cannot be compared if they have different initial seed assignments.
C) A logistic regression and a decision tree cannot be compared.
D) A linear regression and a generalized linear model cannot be compared.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B |



