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NEW QUESTION # 30
When evaluating a Misclassification plot, what does it typically show?
- A. The relationship between two predictor variables
- B. The distribution of predictor variables in the dataset
- C. The p-values associated with the predictor variables
- D. The trade-off between false positives and false negatives at different thresholds
Answer: D
NEW QUESTION # 31
What is variable selection in SAS Visual Statistics used for in logistic regression modeling?
- A. To exclude all predictor variables
- B. To assign roles to variables
- C. To specify the distribution of the response variable
- D. To identify and choose relevant predictor variables
Answer: D
NEW QUESTION # 32
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 report filter.
- D. Create a new data hierarchy.
Answer: C
NEW QUESTION # 33
In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?
- A. To ensure that predictor variables are not highly correlated
- B. To determine the order of predictor variables in the model
- C. To verify if the chosen model assumptions are met and make adjustments if necessary
- D. To calculate the p-values of predictor variables
Answer: C
NEW QUESTION # 34
When examining the Cluster Summary tab, what information is typically available?
- A. Statistics for each cluster, such as mean and standard deviation
- B. The number of variables in the analysis
- C. The decision tree structure for each cluster
- D. The number of iterations performed during clustering
Answer: A
NEW QUESTION # 35
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 delete all observations that do not match your region.
- B. It will have no effect on any observations in the dataset.
- C. It will suppress all observations that do not match your region.
- D. It will suppress all observations that do not match their corresponding region.
Answer: B
NEW QUESTION # 36
When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?
- A. Splitter
- B. Output
- C. Predictor
- D. Input
Answer: B
NEW QUESTION # 37
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 # 38
What are some features of model comparison in SAS Visual Statistics?
- A. Assessing the impact of predictor variables on model outcomes
- B. Comparing the performance of different models
- C. Evaluating model stability over time
- D. Identifying the best model based on a single metric
Answer: B,D
NEW QUESTION # 39
Which statement is true for the Informative Missingness property in SAS Visual Statistics?
- A. The user is prompted to fill in a value to impute for missing predictor variables.
- B. A table of missingness patterns for the predictor variables is displayed in the model output.
- C. Missing values are flagged on diagnostic plots.
- D. Missing values are imputed and indicator variables are created for missing predictors.
Answer: D
NEW QUESTION # 40
How can you interpret model results using the advanced group-by feature in SAS Visual Analytics?
- A. Explore interaction effects between the group-by variable and other predictors
- B. Visualize the predicted values for each level of the group-by variable
- C. Review the model coefficients for each level of the group-by variable
- D. Analyze the impact of different levels of the group-by variable on the model outcome
Answer: A,B,C,D
NEW QUESTION # 41
Refer to the exhibits:
An analyst is evaluating which model to use.
What changed from Comparison 1 to Comparison 2 to select a different champion model?
- A. Misclassification was used instead of Cumulative Lift
- B. Analyst clicked on Model 2 to highlight it
- C. Prediction Cutoff reduced from .5 to .19
- D. Percentile changed from 5th percentile to 40th percentile
Answer: D
NEW QUESTION # 42
Given a scenario, what condition makes models comparable in SAS Visual Statistics?
- A. If they have different sample sizes
- B. If they use the same dataset and response variable
- C. If they use different response variables
- D. If they use different link functions
Answer: B
NEW QUESTION # 43
Refer to the fit summary from in the exhibit below.
What can be concluded from the fit summary?
- A. Debt to income ratio is a significant predictor when Job Type = Sales.
- B. Job Type is not a significant predictor in this model.
- C. Job Type = Office has no important variables associated with it.
- D. Debt to income ratio is a significant predictor when Job Type = Mgr.
Answer: D
NEW QUESTION # 44
In a generalized linear model, what is the role of the link function in transforming the linear predictor?
- A. It determines the distribution of the response variable.
- B. It ensures that the linear predictor is always positive.
- C. It maps the linear predictor to the range of the response variable.
- D. It scales the predictor variables.
Answer: C
NEW QUESTION # 45
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 a calculated item by duplicating the original model effect and changing its default aggregation to Average.
- B. Create an aggregated measure using the Avg aggregation on total amount of sales.
- 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 Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
Answer: A
NEW QUESTION # 46
In logistic regression, which variable is typically designated as the "event" variable (binary)?
- A. The predictor variable with the lowest p-value
- B. The intercept term in the model
- C. The response variable indicating the event occurrence
- D. The predictor variable with the highest p-value
Answer: C
NEW QUESTION # 47
What is unsupervised classification in the context of cluster analysis?
- A. Using a decision tree for data classification
- B. Grouping similar data points together without predefined labels
- C. Creating a scatter plot of data points
- D. Assigning predefined labels to data points
Answer: B
NEW QUESTION # 48
Which statement is true about Decision Trees in SAS Visual Statistics
- A. Decision trees cannot handle missing values.
- B. Decision trees can be used for outlier detection.
- C. Decision trees cannot handle continuous dependent variables.
- D. Decision trees can be used for classification and estimation.
Answer: D
NEW QUESTION # 49
When assessing the quality of a linear regression model, what does a low p-value associated with the F-statistic suggest?
- A. The model has a weak linear relationship with the response.
- B. The model has a significant overall explanatory power.
- C. The model is a poor fit for the data.
- D. The model has a high level of multicollinearity.
Answer: B
NEW QUESTION # 50
When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?
- A. Specify exclusion criteria in the data source properties
- B. Apply a data filter on the visualization
- C. Use the exclude option when setting up a filter
- D. Define a filter condition using the interactive filter pane
Answer: A,B,C,D
NEW QUESTION # 51
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