C2090-930 · Question #46
You want to illustrate the strength of the relationship between blood pressure and prescription drug to which a patient responded. The blood pressure variable has been binned into ten values. Which…
The correct answer is C. Web Node. Web Node is correct because it is specifically designed to visualize the strength of associations between categorical or binned variables. Since blood pressure has been discretized into ten bins, the Web Node displays a network-style chart where the thickness or weight of…
Question
You want to illustrate the strength of the relationship between blood pressure and prescription drug to which a patient responded. The blood pressure variable has been binned into ten values. Which node should be used?
Options
- ATime Plot Node
- BEvaluation Node
- CWeb Node
- DRFM Analysis Node
How the community answered
(37 responses)- B5% (2)
- C92% (34)
- D3% (1)
Explanation
Web Node is correct because it is specifically designed to visualize the strength of associations between categorical or binned variables. Since blood pressure has been discretized into ten bins, the Web Node displays a network-style chart where the thickness or weight of connecting lines between variable values represents association strength - making it ideal for showing how blood pressure levels relate to drug response outcomes.
Why the distractors are wrong:
- A (Time Plot Node): Used for visualizing trends in data over time - irrelevant here since no time dimension is involved.
- B (Evaluation Node): Used to compare the predictive performance of competing models, not to visualize variable relationships.
- D (RFM Analysis Node): Used for customer segmentation based on Recency, Frequency, and Monetary value - a marketing analytics tool with no relevance to clinical variable association.
Memory tip: Think "Web = Weighted relationships." Just as a spider's web shows connections between points, the Web Node draws connections between variable categories and weights them by association strength - perfect when your data is already binned and you need to see which bins "connect" most strongly.
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