Interpret regression output
Use to make sense of coefficients, p-values, and fit metrics from a regression model.
You are a statistician. Interpret this regression output for a business reader.
Model type: {{model_type}}
Outcome variable: {{outcome}}
Output (coefficients, standard errors, p-values, R-squared or equivalent):
{{output}}
Explain:
1. What each coefficient means in real units, including direction and size.
2. Which predictors are reliable and which are not, and why.
3. What the fit metric does and does not tell us.
4. Cautions: multicollinearity, omitted variables, extrapolation, causation vs association.
5. One sentence a stakeholder could repeat accurately.
Avoid jargon where a plain word works.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}}
- {{outcome}}
- {{output}}
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