[UPDATED Dec-2024] Best Value Available Preparation Guide for A00-485 Exam
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NEW QUESTION # 44
What is the primary goal of linear models in statistical modeling?
- A. To classify data into distinct groups
- B. To predict categorical outcomes
- C. To establish a linear relationship between variables
- D. To capture non-linear relationships in data
Answer: C
NEW QUESTION # 45
When assigning roles in a GLM, what does the "offset" variable typically represent?
- A. A predictor variable
- B. A variable with a known constant coefficient
- C. A variable used to adjust the intercept
- D. The target variable
Answer: B,C
NEW QUESTION # 46
Refer to the exhibit:
A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.
- A.
- B.
- C.
- D.
Answer: D
NEW QUESTION # 47
Refer to the exhibit:
Which option was not specified in creating the linear regression model using SAS Visual Statistics?
- A. interaction term
- B. group-by variable
- C. variable selection
- D. continuous effects
Answer: B
NEW QUESTION # 48
What is the maximum number of response variables that SAS Visual Statistics allows for a decision tree?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 49
When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?
- A. A target variable is required.
- B. Interaction items are allowed.
- C. At least two variables are required.
- D. Category items are not allowed.
Answer: C
NEW QUESTION # 50
What is the primary purpose of imputing a variable in SAS Visual Analytics?
- A. To aggregate data
- B. To create new variables
- C. To remove missing values
- D. To replace incorrect values
Answer: D
NEW QUESTION # 51
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 an ordinal classifier as the response variable with linear regression.
- D. You can specify a multinomial classifier as the response variable with linear regression.
Answer: A
NEW QUESTION # 52
Why are decision trees a useful technique for segmentation?
- A. Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.
- B. Trees treat each split cell dependently based on earlier split decisions.
- C. Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.
- D. Trees split data into smaller cells which are decreasingly "pure".
Answer: A
NEW QUESTION # 53
When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?
- A. Binomial distribution with a logit link function
- B. Normal distribution with an identity link function
- C. Poisson distribution with a log link function
- D. Exponential distribution with a square root link function
Answer: A
NEW QUESTION # 54
What is one potential disadvantage of excessively deep decision trees?
- A. Increased interpretability
- B. Greater stability in the model
- C. Faster prediction times
- D. Overfitting to the training data
Answer: D
NEW QUESTION # 55
In SAS Visual Analytics, what is the purpose of creating an aggregated measure?
- A. To transform a categorical variable into a numerical one
- B. To calculate summary statistics for a measure
- C. To replace dirty data with missing values
- D. To combine multiple categories into fewer levels
Answer: B
NEW QUESTION # 56
Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.
What can be concluded from the fit summary?
- A. Customer Value Level C has no important variables associated with it.
- B. Average Sales is an important predictor when Customer Value Level = C.
- C. Customer Value Level is not a significant predictor in this model.
- D. Average Sales is a significant predictor when Customer Value Level = E.
Answer: D
NEW QUESTION # 57
Interactions can be created and added to a linear regression model.
Which statement is true about interactions?
- A. The maximum number of interactions allowed in a model is 3.
- B. Measures and categories can be combined to create an interaction.
- C. Each interaction is limited to 3 effects or fewer.
- D. An interaction can be created for a squared category variable.
Answer: B
NEW QUESTION # 58
When interpreting an Influence plot, what does it typically show?
- A. The distribution of residuals in the model
- B. The effect of each predictor variable on the response
- C. The interaction between two predictor variables
- D. The relationship between the response variable and the intercept term
Answer: B
NEW QUESTION # 59
Which statement is true for negative binomial and Poisson regression models?
- A. Poisson regression models are used for count data, and negative binomial models are used for binary responses.
- B. Poisson regression is a special case of negative binomial regression.
- C. Negative binomial models accommodate negative integers while Poisson regression does not.
- D. The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
Answer: B
NEW QUESTION # 60
You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?
- A.
- B.
- C.
- D.
Answer: B
NEW QUESTION # 61
In the below linear regression results display, where would you click to access the parameter estimates?
Answer:
Explanation:
NEW QUESTION # 62
How are split points determined in a decision tree?
- A. Based on the order of appearance in the dataset
- B. By maximizing information gain or Gini impurity reduction
- C. Randomly assigned
- D. By minimizing the number of leaf nodes
Answer: B
NEW QUESTION # 63
Interactive group-by analysis can be performed for each of the following in Visual Statistics except:
- A. Linear regression
- B. Logistic regression
- C. Generalized linear model
- D. Decision tree
Answer: D
NEW QUESTION # 64
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