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NEW QUESTION # 24
Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?
- A. It will have no effect on any observations in the dataset.
- B. It will suppress all observations that do not match your region.
- C. It will delete all observations that do not match your region.
- D. It will suppress all observations that do not match their corresponding region.
Answer: A
NEW QUESTION # 25
In the context of linear regression, what does the term "linearity" refer to?
- A. The absence of any relationship between variables
- B. The use of a straight line to model relationships
- C. The use of polynomial functions for modeling
- D. The requirement for variables to be categorical
Answer: B
NEW QUESTION # 26
Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?
- A. The resulting model is a multinomial logistic regression model with a generalized logit link.
- B. You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
- C. The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
- D. The resulting model is a binary logistic regression model with a selected level as the event.
Answer: D
NEW QUESTION # 27
An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?
- A. Create a new ranks variable on age and sort descending on that variable.
- B. Create an SQL query from the filters tab.
- C. Create a new data hierarchy.
- D. Create a report filter.
Answer: D
NEW QUESTION # 28
What information is conveyed by a Summary bar in model assessment?
- A. The performance metrics of the model, such as AUC and KS Statistic
- B. The standard deviation of the predictor variables
- C. The summary statistics of the response variable
- D. The distribution of residuals in the model
Answer: A
NEW QUESTION # 29
What conditions might make models less comparable in SAS Visual Statistics?
- A. If they have different learning rates
- B. If they are both logistic regression models
- C. If they use the same dataset and response variable
- D. If they have similar AUC values
Answer: A,D
NEW QUESTION # 30
Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?
- A. SAS Studio
- B. SAS Enterprise Guide
- C. SAS Data Integration Studio
- D. SAS Enterprise Miner
Answer: A,B,C,D
NEW QUESTION # 31
Given a scenario, what condition makes models comparable in SAS Visual Statistics?
- A. If they use different link functions
- B. If they use the same dataset and response variable
- C. If they use different response variables
- D. If they have different sample sizes
Answer: B
NEW QUESTION # 32
You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?
- A. Observations with a value of 2 will be used as Training data.
- B. No partition will be used because there are more than two levels.
- C. Observations with a value of 0 will be used as Training data.
- D. Observations with a value of 1 will be used as Training data.
Answer: D
NEW QUESTION # 33
Which of the following are common distributions used in generalized linear models?
- A. Exponential
- B. Normal
- C. Logistic
- D. Poisson
Answer: B,C,D
NEW QUESTION # 34
How can score code be implemented to score new data using SAS Enterprise Miner?
- A. By creating a scoring node in a SAS Enterprise Miner process flow
- B. By pasting the code into a web browser
- C. By importing the code into SAS Data Integration Studio
- D. By manually executing the code in a command-line interface
Answer: A
NEW QUESTION # 35
What do cluster properties refer to in the context of cluster analysis?
- A. A measure of data point centrality
- B. The number of clusters in the analysis
- C. Characteristics shared by data points within a cluster
- D. Descriptive statistics of individual data points
Answer: C
NEW QUESTION # 36
Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?
- A. Exponential distribution with a log link function
- B. Logistic distribution with a logit link function
- C. Poisson distribution with a log link function
- D. Normal distribution with an identity link function
Answer: A
NEW QUESTION # 37
When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?
- A. The predicted events remain unchanged and the predicted probabilities increase.
- B. The predicted events remain unchanged and the predicted probabilities decrease.
- C. The predicted events decrease and the predicted probabilities remain unchanged.
- D. The predicted events increase and the predicted probabilities remain unchanged.
Answer: C
NEW QUESTION # 38
When investigating leaf nodes in a decision tree, what does it reveal about the data?
- A. The statistical significance of each leaf node
- B. The class labels assigned to each leaf node
- C. The decision rules leading to each leaf node
- D. The feature values associated with each leaf node
Answer: B,C,D
NEW QUESTION # 39
When creating a Linear Regression, Category Variables can be used for Classification Effects and
- A. Continuous Effects
- B. Frequency
- C. Group-by
- D. Response
Answer: C
NEW QUESTION # 40
Refer to the exhibit from a linear regression model in SAS Visual Statistics.
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A. The Intercept is an important predictor of the response.
- B. RestPulse is a significant predictor of the response.
- C. For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.
- D. For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.
Answer: C
NEW QUESTION # 41
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