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1. What does a Group-by Variable enable you to do in SAS Visual Statistics?
A) Use variable selection.
B) Fit a model for every value of a measure's distribution.
C) Leverage informative missingness for measure and category variables.
D) Fit a model for each data segment defined by one or more category variables.
2. When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?
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) Binomial distribution with a logit link function
3. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?
A) The tree will be harder to interpret.
B) The tree will be simpler.
C) The tree will train more slowly.
D) The tree will be more complex.
4. You want to fit a Poisson regression and use the log link function to predict skin cancer from weather, pollution, and demographic variables. Each row in the data is a geographic region.
The response, Melanoma, is stored as the number of melanoma skin cancer cases in each region.
Because some regions have many people and some have few, your data also includes a variable with the region population.
What is the best way to include population in this model?
A) Add the log of Population as an offset.
B) Add Population as an effect.
C) Add Population as an offset.
D) Add the log of Population as an effect.
5. Refer to the exhibit:
How many predictor variables would be included in the score code produced by this model?
A) 13
B) 8
C) 5
D) 7
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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