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100% Pass SASInstitute - The Best A00-485 - New Modeling Using SAS Visual Statistics Test Answers

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100% Pass Quiz 2025 SASInstitute Realistic New A00-485 Test Answers

If you want to demonstrate your expertise in solving complex SASInstitute real-life problems, then you need to pass the SASInstitute A00-485 certification exam. However, passing this exam is not an easy task. It requires you to master complicated subjects related to Modeling Using SAS Visual Statistics. To help you prepare for this exam, TorrentVCE offers verified SASInstitute A00-485 Exam Questions that are ruling the preparation world.

SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q187-Q192):

NEW QUESTION # 187
Your data contains a column for Country that contains 350 unique values. There are multiple entries for some countries (Japan, JPN, japan, etc.). You want a unique value for each country.
Which is the most efficient way to correct inconsistent values?

A. Create a Custom Category that combines all the variations of a country into one.
B. Create a data source filter to suppress the incorrect variations of a country.
C. Create a visualization filter to suppress the incorrect variations of a country.
D. Create a calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.

Answer: A

NEW QUESTION # 188
Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

A. Linear regression
B. Logistic regression
C. Decision tree
D. Generalized linear model

Answer: C

NEW QUESTION # 189
When should you replace dirty data with missing values in SAS Visual Analytics?

A. When the data is incorrect or invalid
B. When the data contains outliers
C. When you want to create a new variable
D. When you want to remove missing values

Answer: A

NEW QUESTION # 190
What is the primary purpose of assigning variable roles in linear regression?

A. To determine the level of significance for each variable
B. To determine the order in which variables are entered into the model
C. To specify which variables are categorical and which are continuous
D. To indicate which variables are predictors and which are responses

Answer: C

NEW QUESTION # 191
When interpreting an Influence plot, what does it typically show?

A. The effect of each predictor variable on the response
B. The interaction between two predictor variables
C. The relationship between the response variable and the intercept term
D. The distribution of residuals in the model

Answer: A

NEW QUESTION # 192
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