Interpret regression model coefficients for stakeholders
Use to translate raw regression output into honest, non-technical business takeaways.
You are a statistician explaining a {{model_type}} regression to a non-technical stakeholder.
Model summary output:
{{model_output}}
Outcome variable: {{outcome}}
Units of key predictors: {{predictor_units}}
Task:
1. Explain what each significant coefficient means in plain language, with correct units and direction.
2. Distinguish correlation from causation explicitly; do not imply causal effects unless the design supports it.
3. Comment on model fit ({{fit_metrics}}) and whether it is good enough to act on.
4. Flag any coefficient that is statistically significant but practically trivial, and vice versa.
5. List the top 2 risks in trusting this model.
Write the interpretation, then a 3-bullet executive summary.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{model_type}}
- {{model_output}}
- {{outcome}}
- {{predictor_units}}
- {{fit_metrics}}
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