The Regression Analysis Helper
3 fill-in slots · from The AI Prompt Handbook for MBAs
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0/3 filledThe Regression Analysis Helper
Help me set up and interpret a regression to understand what drives this outcome. The outcome I care about: [E.G. SALES, CHURN, COST] The factors I think matter: [LIST] The data I have: [DESCRIBE] Provide: 1. How to set up the regression (which variables, what form) 2. How to read the output: coefficients, significance, R-squared — in plain terms 3. What each significant driver means for the business (direction and magnitude) 4. The pitfalls to check (multicollinearity, omitted variables, spurious fit, causation vs correlation) 5. What the model can and can't tell me If I paste real output, interpret it. Emphasise that a significant coefficient is not proof of causation.
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