Online Access Free A00-240 Exam Questions

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

A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)

• A.New cases with missing values on input variables cannot be scored without extra data processing.
• B.There will be a high rate of collinearity among input variables.
• C.Complete case analysis means that fewer observations will be used in the model building process.
• D.The model will likely be overfit.

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?

• A.Score data=valid1 outroc=roc;
• B.mode1 resp(event"1") = gender region/ out=roc;
• C.Score data=valid1 out=roc;
• D.mode1 resp(event= '1') = gender region/outroc=roc;

What is the default method in the LOGISTIC procedure to handle observations with missing data?

• A.Parameters are estimated accounting for the missing values.
• B.Parameter estimates are made on all available data.
• C.Missing values are imputed.
• D.Only cases with variables that are fully populated are used.

A marketing analyst assessed the effect of web page design (A, B, or C) on customers' intent to purchase an expensive product. The focus group was divided randomly into three sub-groups, each of which was asked to view one of the web pages and then give their intent to purchase on a scale from 0 to 100. The analyst also asked the customers to give their income, which was coded as: I (lowest), II (medium), or III (highest). After analyzing the data, the analyst claimed that there was significant interaction and the webpage design mainly influenced high income people.
Which graph supports the analyst's conclusion?
A)

B)

C)

D)

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