Regression
Linear regression
Predicts an outcome from one or more predictors.
Variables
- Dependent variableContinuous — 1
- PredictorsContinuous · Ordinal — at least 1
Options
- Include intercept
What it reports
Per predictor B, SE, β, t, p and its CI; R², F, VIF and the condition number.
statsmodels · Open the accuracy report
When does this apply?
For modelling one continuous outcome on one or more quantitative predictors; the fit uses rows that are complete across every variable. For the model the output is F, the degrees of freedom, p and R² with a confidence interval; for each predictor, B, its standard error, β, t, p and VIF, plus residual diagnostics. A categorical predictor is not accepted by this model — you must code it 0/1 yourself.