Online Access Free A00-240 Practice Test

Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?

• A.Age Weight RunTime RunPulse RestPulse MaxPulse
• B.RunTime
• C.Age Weight RunTime RunPulse MaxPulse
• D.RestPulse

A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
* Target variable Respond (0, 1)
* Continuous predictor Income
* Categorical predictor Homeowner(Y, N)
Which SAS program performs this analysis?

• A.Option A
• B.Option D
• C.Option C
• D.Option B

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?

• A.Only the non-intercept parameter estimates are biased.
• B.Sensitivity estimates are biased.
• C.All parameter estimates are biased.
• D.Only the intercept estimate is biased.

An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model.
The analyst discovers that the probability of purchasing a certain item when Region = A is 1.
What problem does this illustrate?

• A.Collinearity
• B.Quasi-complete separation
• C.Problems that arise due to missing values
• D.Influential observations

Refer to the exhibit:

Which statement is true, based on the plots above?

• A.Approximately ten percent of a randomly selected subset of twenty percent of the customers are expected to have a positive event.
• B.Approximately twenty percent of the customers with a predicted score of 3 have a positive predicted class.
• C.Approximately twice as many customers with the top ten percent of predicted probabilities are expected to have a positive versus negative event.
• D.Approximately ten percent of those customers with the top twenty percent of predicted probabilities are expected to have a positive event.