A00-240 試験問題を無料オンラインアクセス

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

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

Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

• A.Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.
• B.Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.
• C.Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.
• D.Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

This question will ask you to provide a segment of missing code.
The following code is used to create missing value indicator variables for input variables, fred1 to fred7.

Which segment of code would complete the task?

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

Refer to the REG procedure output:

The Intercept estimate is interpreted as:

• A.The predicted value of the response when all predictors are at their means.
• B.The predicted value of the response when all predictors are at their minimum values.
• C.The predicted value of the response when all predictors = 0.
• D.The predicted value of the response when all the predictors are at their current values.