[2026] SASInstitute Modeling Using SAS Visual Statistics

문제1

In a generalized linear model, what is the role of the link function in transforming the linear predictor?

A. It maps the linear predictor to the range of the response variable.

B. It determines the distribution of the response variable.

C. It ensures that the linear predictor is always positive.

D. It scales the predictor variables.

정답: A

문제2

What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

A. The number of iterations performed by each model

B. The distribution of predictor variables

C. Model performance metrics and their relative importance

D. The correlation matrix of predictor variables

정답: C

문제3

What does it mean to create dummy variables in SAS Visual Data Builder?

A. Replacing missing values with zeros

B. Generating artificial data points

C. Aggregating multiple measures into one variable

D. Converting categorical variables into binary variables

정답: D

문제4

How can you assign a group-by variable to a predictive model in SAS Visual Analytics?

A. Select the group-by variable from a dropdown menu in the model settings

B. Click on the group-by variable and choose "Assign as predictor" from the context menu

C. Specify the group-by variable in the data source properties

D. Drag and drop the group-by variable into the predictor field of the model

정답: A,D

문제5

What does a Lift chart evaluate in terms of model performance?

A. The interaction effects between predictor variables

B. The relative performance of the model compared to a random model

C. The correlation between predictor variables

D. The distribution of the response variable

정답: B

문제6

What is the primary purpose of specifying the link function in logistic regression?

A. To ensure that all predictor variables are used

B. To control the significance level of predictor variables

C. To determine the distribution of the response variable

D. To establish the relationship between the linear predictor and the probability of an event

정답: D

문제7

Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

A. Likelihood Displacement

B. Concordance

C. AIC

D. Adjusted R-Squared

정답: A

문제8

Refer to the exhibit:

Which option was not specified in creating the linear regression model using SAS Visual Statistics?

A. continuous effects

B. interaction term

C. variable selection

D. group-by variable

정답: D

문제9

Refer to the exhibit:

Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?

A. Classification = Measure & Model Type = Continuous

B. Classification = Category & Model Type = Discrete

C. Classification = Category & Model Type = Continuous

D. Classification = Measure & Model Type = Discrete

정답: A

문제10

In generalized linear models, what is the purpose of the link function?

A. To specify the relationship between the predictor and response variables

B. To determine the distribution of the response variable

C. To adjust the model for multicollinearity

D. To calculate the p-values of predictor variables

정답: A

문제11

Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?

A. SAS Enterprise Miner

B. SAS Studio

C. SAS Enterprise Guide

D. SAS Data Integration Studio

정답: A,B,C,D

문제12

How can you interpret model results using the advanced group-by feature in SAS Visual Analytics?

A. Analyze the impact of different levels of the group-by variable on the model outcome

B. Review the model coefficients for each level of the group-by variable

C. Explore interaction effects between the group-by variable and other predictors

D. Visualize the predicted values for each level of the group-by variable

정답: A,B,C,D

문제13

Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.

What can be concluded from the fit summary?

A. Customer Value Level is not a significant predictor in this model.

B. Customer Value Level C has no important variables associated with it.

C. Average Sales is a significant predictor when Customer Value Level = E.

D. Average Sales is an important predictor when Customer Value Level = C.

정답: C

SASInstitute Modeling Using SAS Visual Statistics - A00-485무료 덤프문제 풀어보기

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