A sensitivity plot is a diagnostic visualization used in regression analysis to assess how residuals vary across the range of fitted or observed values. It typically displays residuals against one predictor or the fitted values, often with a smoothed trend line to highlight patterns such as nonlinearity or changing variance. The parameterization specifies which residual type (standardized, studentized) and which predictor axis is used. It persists through statistical practice, teaching, and the computational tooling that makes it a standard component of regression model checking. [formal: sensibilitas | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
sensitivity plot
A sensitivity plot is a diagnostic visualization used in regression analysis to assess how residuals vary across the range of fitted or observed values. It typically displays residuals against one predictor or the fitted values, often with…
Definition
Why it is in scope
A human-made diagnostic visualization that shows how a model's output or parameters change as one or more input variables are varied while others are held constant. Built to persist as a tool for diagnosing model behavior, identifying nonlinear relationships, and communicating how sensitive predictions are to individual inputs.
Names and aliases
- sensitivity ploten · CANONICAL
Relations from this entry
- cmsk6gz0j03yknobp6dik93doINSTANCE_OF →
A sensitivity plot IS a specific kind of diagnostic plot — it diagnoses model behavior by visualizing how outputs change when inputs vary. Per the sense pinned in its scope, it belongs to the diagnostic plot family.
- cms7q3hp4004i1yrmoxs8yf2xSERVES →
A sensitivity plot visualizes how model outputs change as inputs vary — its designed purpose is to support sensitivity analysis by revealing which inputs dominate output variance. Servant (plot) → master (analysis). Law 8d.
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Record identity
- Created
- Aug 8, 2026, 10:55 AM UTC
- Content hash
- 237ef098c25d7ed3b3843851b3181ae2a4344c6446fa4b32f322fa1b9220e7ef