# Autocorrelation

Autocorrelation is the correlation of a time series with its past and future values. A statistical method used for time series analysis and is commonly known as serious correlation or lagged correlation. At different points in time and for a random process it describes the correlation between values of the process. In the year 1976, Box and Jenkins founded autocorrelation. It can be used to detect non randomness in data and also to find an appropriate time series model when the data is not random. For predictions it can be easily explained as it depends on past and future values and the tools used for assessing autocorrelation are time series plot, lagged scatter plot and the autocorrelation function. A mathematical tool for finding repeated patterns due to the noise present in the data.