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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

Refer to the exhibit:

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

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

Question 2

What are the essentials of logistic regression?

A. Estimating probabilities of categorical outcomes
B. Assuming a linear relationship between predictors and response
C. Modeling binary or ordinal outcomes
D. Using the logit link function to model the probability of an event

Question 3

You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?

A. Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
B. Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
C. Create a calculated item that divides total amount of sales by the total amount of items sold.
D. Create an aggregated measure using the Avg aggregation on total amount of sales.

Question 4

What does a Group-by Variable enable you to do in SAS Visual Statistics?

A. Fit a model for each data segment defined by one or more category variables.
B. Use variable selection.
C. Fit a model for every value of a measure's distribution.
D. Leverage informative missingness for measure and category variables.

Question 5

In SAS Visual Analytics, what is the purpose of creating an aggregated measure?

A. To calculate summary statistics for a measure
B. To combine multiple categories into fewer levels
C. To transform a categorical variable into a numerical one
D. To replace dirty data with missing values

Solutions: