Read a regression result clearly
Prompt that translates a regression result into units, uncertainty and clear limits. Paste it into an AI tool of your choice, which then explains the regression result.
- Topic
- Spreadsheets & data
- Type
- Prompt
- Level
- Intermediate
- Time
- about 10 min
Results depend on the tool, the model and what you enter.
Result preview
Example: written by our editors, not real AI output.
| Value | Meaning | Certainty | | Advertising 2.1 | per €1 of advertising, on average €2.10 more revenue | range 0.9 to 3.3 | | Holiday −1,800 | on holidays, on average €1,800 less | wide range, only 9 holidays | | R² 0.46 | just under half of the variation explained | | Limits: 104 weeks of data; advertising often rose before seasonal peaks, cause not shown Summary: More advertising goes with more revenue, the strength is uncertain, a test with pause weeks would show more.
Fill in
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- advertising spend and revenue
- price and quantity sold
- weather and visitor numbers
- delivery time and ratings
- experience and handling time
- output from a spreadsheet
- output from R or Python
- screenshot of a statistics program
- only coefficients and p-values
- text from a report
- management
- a specialist team
- clients in a report
- myself
- students
Your prompt
You have edited the prompt. Changes in the fields above no longer overwrite it.
This is an instruction for an AI, not the result itself.
Where this prompt works
These AI tools are a good fit for this prompt:
How to use it
- Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
- Copy the finished prompt into an AI tool of your choice.
- Ask how the prediction behaves for a value far outside the data. A good answer warns against extrapolating there.
Why does this work?
Regression output tempts people to read stars as proof and coefficients as causes. Translated into units and given clear limits, it turns into honest statements you can decide on.
Tips
- Paste the complete output, including the number of observations, otherwise nobody can judge the certainty.