Statistical model estimating how several predictors jointly explain variance in an outcome.
Multiple linear regression fits an outcome as a weighted combination of two or more predictor variables, allowing estimation of each variable's independent contribution. Reported percentage breakdowns of 'variance explained' by individual predictors should sum consistently with the model's overall R²; discrepancies suggest the breakdown isn't a clean additive partition.
This guide was auto-drafted and is pending editorial review.