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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

When exporting score code, what information is typically included in the code?

A. The model parameters and coefficients
B. The distribution of the response variable
C. Instructions for preprocessing new data
D. The entire training dataset

Question 2

Which of the following criteria are commonly used for pruning a decision tree?

A. Maximum leaf nodes
B. Minimum split count
C. Maximum tree height
D. Maximum depth

Question 3

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

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

Question 4

In logistic regression, which variable is typically designated as the "event" variable (binary)?

A. The response variable indicating the event occurrence
B. The predictor variable with the highest p-value
C. The intercept term in the model
D. The predictor variable with the lowest p-value

Question 5

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.

Solutions: