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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Given a scenario where the response variable represents the number of accidents in a day, what distribution and link function might be appropriate for modeling?

A) Poisson distribution with a log link function
B) Normal distribution with an identity link function
C) Exponential distribution with a square root link function
D) Logistic distribution with a logit link function

2. When creating a Linear Regression, Category Variables can be used for Classification Effects and

A) Continuous Effects
B) Frequency
C) Group-by
D) Response

3. 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

4. What roles can be assigned to variables in logistic regression?

A) Target
B) Nominal
C) Input
D) Interval

5. When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

A) K-means
B) Linear Regression
C) Decision Tree
D) Principal Component Analysis (PCA)

Solutions: