👉 The term "autoregressive" refers to a type of linear model in time series analysis that is used to represent the relationship between two variables, where one variable changes over time while the other remains constant. In this context, the "variable" being studied can be any number of variables, such as time series data or economic indicators. An autoregressive (AR) model represents the relationship between a dependent variable and its independent variable at each time step by using an equation that includes the past values
