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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?

A) Improve the accuracy of your predictions.
B) Reduce the impact of minor observation errors.
C) Gain information due to discretization.
D) Reduce the cardinality of a continuous effect.

2. Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

A) Decision Tree model would be selected at lift=5
B) Decision Tree model would be selected at lift=20
C) Logistic Regression model would be selected at lift=5
D) Logistic Regression model would be selected at lift=20

3. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

A) By applying the link function to the linear predictor
B) By summing the residuals of the model
C) By calculating the mean of the predictor variables
D) By fitting a linear regression model to the data

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

5. In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A) By embedding it within a scatter plot
B) By linking it to a table in a database
C) By exporting it as a separate dataset
D) By including it as a dimension in a new visualization

Solutions: