Multiple regression is an extension of simple linear regression that models the relationship between a dependent variable and two or more independent variables.

Multiple regression analysis is a statistical technique used to understand the relationship between one dependent variable and two or more independent variables. It helps determine how changes in the independent variables affect the dependent variable, allowing for predictions and insights into complex relationships. For example, it can be used to analyze how factors like age, income, and education level influence spending habits.