Multivariate regression is a statistical technique used to model the relationship between multiple independent variables and a single dependent variable, allowing for the analysis of complex datasets with more than one predictor. This method helps in understanding the impact of each independent variable on the dependent variable while controlling for the effects of other variables in the model.