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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is meant by "informative missingness" in the context of linear regression?

A. Missing data that is unrelated to the outcome variable
B. Missing data that provides valuable information about the outcome
C. Missing data that is randomly distributed across observations
D. Missing data that leads to multicollinearity among predictors

Answer: B

NEW QUESTION # 16
Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.

What can be concluded from the fit summary?

A. Average Sales is a significant predictor when Customer Value Level = E.
B. Average Sales is an important predictor when Customer Value Level = C.
C. Customer Value Level is not a significant predictor in this model.
D. Customer Value Level C has no important variables associated with it.

Answer: A

NEW QUESTION # 17
Refer to the exhibit:

Which is the modeling approach that should be used when fitting the Target Gift Amount variable?

A. Generalized linear model with a Poisson distribution and Identity link.
B. Logistic regression model.
C. Linear regression model with Interaction effects.
D. Generalized linear model with a Normal distribution and Log Link.

Answer: D

NEW QUESTION # 18
Refer to the exhibit:

What does the Residual Plot from a linear regression model reveal?

A. It suggests the error variance is constant.
B. There is an approximately equal number of positive and negative residuals.
C. The model is not capturing all of the available signals in the data.
D. It suggests the errors are uncorrelated.

Answer: C

NEW QUESTION # 19
What is unsupervised classification in the context of cluster analysis?

A. Assigning predefined labels to data points
B. Using a decision tree for data classification
C. Grouping similar data points together without predefined labels
D. Creating a scatter plot of data points

Answer: C

NEW QUESTION # 20
......

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