Detection of Influential Observation in Linear Regression¶
Cook, R. D. (1977). Detection of Influential Observation in Linear Regression. Technometrics, 19(1), 15-18.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Deviation Residual Table
- Its honest failure mode is that a table shows magnitude, not validity: a huge residual can come from a single high-leverage observation that is distorting the fitted model rather than revealing a substantive anomaly — an influential point, not an insight.
This sourceDefines an influential observation by how materially its deletion changes the fitted least-squares model.
- Its honest failure mode is that a table shows magnitude, not validity: a huge residual can come from a single high-leverage observation that is distorting the fitted model rather than revealing a substantive anomaly — an influential point, not an insight.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:594dc61e33be · see in the full table