You have a series with only one variable “y” measured at time | datascienceinfo

You have a series with only one variable “y” measured at time t. How do predict “y” at time t+1? Which approaches would you use?

We want to look at the correlation between different observations of y. This measure of correlation is called autocorrelation. Autoregressive models are multiple regression models where the time-lag series of the original time series are treated like multiple independent variables.