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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

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

Question 2

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

A. You can build both a linear regression or a logistic regression with a generalized linear model.
B. You can build neither a linear regression nor a logistic regression with a generalized linear model.
C. You can specify a multinomial classifier as the response variable with linear regression.
D. You can specify an ordinal classifier as the response variable with linear regression.

Question 3

Which statement is true regarding the number of polylines created in a Parallel Coordinates plot during Cluster Analysis?

A. It cannot exceed 3,000.
B. It is calculated using the number of variables used in the cluster analysis.
C. It is calculated using the variable with the greatest number of bins.
D. It is calculated using the number of variables visible in the plot.

Question 4

In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A. The distribution of the response variable in the dataset
B. A detailed description of the data preprocessing steps
C. A summary of the model's goodness of fit and performance metrics
D. A list of all predictor variables used in the model

Question 5

When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?

A. Random seed
B. Cluster centroid initialization
C. K-value
D. Learning rate

Solutions: