최신 A00-485 무료덤프 - SASInstitute Modeling Using SAS Visual Statistics

문제1

Which statement is true about performing regressions in SAS Visual Statistics?

A. You can specify an ordinal classifier as the response variable with linear regression.

B. You can specify a multinomial classifier as the response variable with linear regression.

C. You can build neither a linear regression nor a logistic regression with a generalized linear model.

D. You can build both a linear regression or a logistic regression with a generalized linear model.

정답: D

문제2

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

A. Aggregating multiple measures into one variable

B. Converting categorical variables into binary variables

C. Generating artificial data points

D. Replacing missing values with zeros

정답: B

문제3

When would you typically use a linear regression model instead of a generalized linear model (GLM)?

A. When there is no assumption of linearity in the data

B. When the goal is to model categorical outcomes

C. When dealing with count data

D. When the dependent variable is binary

정답: A

문제4

You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?

A. The other levels are grouped into one non-event.

B. An ordinal logistic regression is performed.

C. A multinomial logistic regression is performed.

D. The other levels are offset to account for exposure.

정답: A

문제5

What are decision tree properties that can be defined during model construction?

A. The learning rate for gradient boosting

B. The number of neighbors in a k-nearest neighbors model

C. The minimum number of data points in a leaf node

D. The maximum depth of the tree

정답: C,D

문제6

What are some properties that can be defined in a generalized linear regression model?

A. Distribution and link function

B. Coefficients and p-values

C. Number of predictors

D. Residuals and intercept

정답: A

문제7

You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
"College Grad", etc.
Which action allows you to incorporate this variable in the cluster analysis without returning a warning?

A.

B.

C.

D.

정답: D

문제8

Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

A. Logistic Regression model would be selected at lift=5

B. Logistic Regression model would be selected at lift=20

C. Decision Tree model would be selected at lift=5

D. Decision Tree model would be selected at lift=20

정답: A,D

문제9

Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?

A. Clusters may overlap in the Cluster Matrix plot.

B. You can derive a Cluster ID variable by right clicking on the Parallel Coordinates plot.

C. SAS Visual Statistics creates a measure variable containing the cluster ID when you derive a Cluster ID variable.

D. An observation can belong to more than one cluster.

정답: A

문제10

In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?

A. Predictor

B. Input

C. Target

D. Output

정답: B

최신 A00-485 무료덤프 - SASInstitute Modeling Using SAS Visual Statistics

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