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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is true about performing regressions in SAS Visual Statistics?

A) You can specify a multinomial classifier as the response variable with linear regression.
B) You can build neither a linear regression nor a logistic regression with a generalized linear model.
C) You can specify an ordinal classifier as the response variable with linear regression.
D) You can build both a linear regression or a logistic regression with a generalized linear model.

2. Which statement is true regarding model comparison within SAS Visual Statistics?

A) A linear regression and a generalized linear model cannot be compared.
B) A logistic regression and a decision tree cannot be compared.
C) Two generalized linear models cannot be compared if they use different underlying distributions.
D) Two cluster analyses cannot be compared if they have different initial seed assignments.

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 more complex.
B) The tree will be simpler.
C) The tree will be harder to interpret.
D) The tree will train more slowly.

4. What properties can be defined in a logistic regression model?

A) The number of iterations
B) Coefficients and p-values
C) The learning rate
D) The distribution of the response variable

5. Given a scenario, what condition makes models comparable in SAS Visual Statistics?

A) If they have different sample sizes
B) If they use the same dataset and response variable
C) If they use different link functions
D) If they use different response variables

Solutions: