SASInstitute A00-485

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of specifying the link function in logistic regression?

A) To ensure that all predictor variables are used
B) To control the significance level of predictor variables
C) To establish the relationship between the linear predictor and the probability of an event
D) To determine the distribution of the response variable

2. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The R-squared value
B) The AUC (Area Under the Curve)
C) The learning rate of the model
D) The p-value of the intercept term

3. When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?

A) The magnitude of the outlier and its impact on the model
B) The variable roles assigned to outliers
C) The p-values associated with the outliers
D) The number of outliers in the dataset

4. Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

A) The response rate for the best 20% is predicted to increase 5 times under the fitted model.
B) The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.
C) The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
D) The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.

5. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To prevent any splits in the tree
B) To control the learning rate of the model
C) To determine the maximum depth of the tree
D) To specify the minimum number of data points required to perform a split

Solutions: