Free Access SASInstitute.A00-485.v2024-12-09.q69 Practice Test (Page 5)

Question 16

In linear regression modeling, what roles are typically assigned to variables?

A.Input, Target, and Nominal

B.Intercept, Slope, and Error

C.Dependent, Independent, and Categorical

D.Predictor, Response, and Interaction

Question 17

Refer to the exhibit from a linear regression model in SAS Visual Statistics.

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

A.For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.

B.The Intercept is an important predictor of the response.

C.RestPulse is a significant predictor of the response.

D.For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.

Question 18

You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A.Create aggregated measures using the Min and Max aggregations.

B.Create a calculated item subtracting the Min aggregation from the Max aggregation.

C.Select a histogram object for each measure.

D.Select View Measure Details within the Actions menu to the right of the dataset name.

Question 19

Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?

A.The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.

B.You cannot assign a response variable with 3 or more levels to the logistic regression visualization.

C.The resulting model is a binary logistic regression model with a selected level as the event.

D.The resulting model is a multinomial logistic regression model with a generalized logit link.

Question 20

In cluster analysis, what does the term "centroid" refer to?

A.The center point of a cluster in the feature space

B.The total number of data points in a cluster

C.The number of variables used in the analysis

D.The minimum distance between two clusters

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Question 16

Question 17

Question 18

Question 19

Question 20

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