Finding lag times for multiple time series

1. How do you calculate lag in time series?
2. Can you correlate time series data?
3. What is lag in time series forecasting?

How do you calculate lag in time series?

A “lag” is a fixed amount of passing time; One set of observations in a time series is plotted (lagged) against a second, later set of data. The k^th lag is the time period that happened “k” time points before time i. For example: Lag₁(Y₂) = Y₁ and Lag₄(Y₉) = Y₅.

Can you correlate time series data?

The concept of correlation is the same used in non-time series data: identify and quantify the relationship between two variables. Due to the continuous and chronologically ordered nature of time series data, there is a likelihood that there will be some degree of correlation between the series observations.

What is lag in time series forecasting?

Lags:This is value of time gap being considered and is called the lag. A lag 1 autocorrelation is the correlation between values that are one time period apart. More generally, a lag k autocorrelation is the correlation between values that are k time periods apart.