How do you diagnose a marketing regression before interpreting it?
Diagnosis examines functional form, residuals, heteroskedasticity, collinearity, influence, temporal dependence and out-of-sample stability before reading coefficients.
Direct answer
Determine which interpretations remain compatible with diagnostics.
Diagnosis examines functional form, residuals, heteroskedasticity, collinearity, influence, temporal dependence and out-of-sample stability before reading coefficients.
y = Xβ + εESTIMAND
Estimation profile
- Unit of analysis
- Observation, entity or series × periodControlled scientific terminology
observation × residual - Exact estimand
Diagnostic evidence- Model or deliverable
y = Xβ + ε
01—08
Verifiable analysis framework
- 01Question
How do you diagnose a marketing regression before interpreting it?
- 02Estimand
Diagnostic evidence · observation × residual
- 03Data
outcome · predictors · residuals · time_or_cluster
- 04Model or deliverable
y = Xβ + ε
- 05Declared calculation
y = Xβ + ε → Diagnostic evidence
- 06Uncertainty checks
Residual plots · Robust variance · Influence and holdout
- 07Method-specific validation
Check data, estimate stability and interpretation limits. Residual plots · Robust variance · Influence and holdout
- 08Limitations
Validate a model from R-squared alone.
Required variables
outcomepredictorsresidualstime_or_cluster
Checks · Controlled scientific terminology
- Residual plots
- Robust variance
- Influence and holdout
Determine which interpretations remain compatible with diagnostics.
Validate a model from R-squared alone.
Scientific sources
1 source
Method connections