What is Time-Series forecasting? What is the difference between in Time series and regression?

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Time series forecasting is a technique for the prediction of events through a sequence of time. The technique is used across many fields of study, from the geology to behavior to economics. The techniques predict future events by analyzing the trends of the past, on the assumption that future trends will hold similar to historical trends.

 

 

Difference between in Time series and regression

Time-series:

 1. Whenever data is recorded at regular intervals of time.

 2. Time-series forecast is Extrapolation

. 3. Time-series refers to an ordered series of data.

 

 Regression:

 

 1. Whereas in regression, whether data is recorded at regular or irregular intervals of time, we can apply. 

2. Regression is Interpolation.

 3. Regression refer both ordered and unordered series of data

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