multiple predictor regression

Multiple predictor regression is a statistical technique used to predict one response (dependent) variable based on the values of multiple independent variables. It is used to analyze the relationship between the dependent and independent variables and to assess how well the independent variables explain the variance in the dependent variable. Multiple predictor regression is often used in marketing and finance to determine the effect of multiple factors, such as pricing, product characteristics, and advertising spending, on sales.