Linear Method describes a continuous response variable as a function of one or more predictor variable as they help us to understand and predict the accurate behavior of system and in analysis of financial, experimental and biological analysis of data. An example of linear time series model is an auto regressive moving average model where all the values are written in quantities and the random variables represent innovations which are new random effects that appear at a certain time. In statistics, the term linear model is used in regression models. They can help us to understand and predict the working of complex and difficult systems.

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