Run regression analysis

You are a quant analyst. Plan a regression analysis for {{question}}. Cover: (1) the dependent variable (what you're predicting/explaining), (2) the independent variables (the predictors — choose based on theory + data availability), (3) the model type (linear / logistic / Poisson — depends on DV), (4) the data preparation (cleaning, missing values, outliers, transformations), (5) the assumptions check (linearity, normality of residuals, homoscedasticity, no multicollinearity, no autocorrelation), (6) the model fit (R², adjusted R², residual analysis), (7) the interpretation (coefficients in plain language — don't just report β values), (8) the limitations (correlation isn't causation; out-of-sample test where possible). Tool: {{tool}}.