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Time Series and Forecasting

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Do time series models rely heavily on cause and effect relationships between variables in order to ensure accurate predictions?

My understanding is that time series models assume that the future will behave like the past. Is this true?

Are they different?

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This solutions contains explanations on time series and forecasting.

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Forecasting is an essential tool in any decision making process. Time series is one of the quantitative methods we use to determine patterns in data collected over time. Time series analysis is used to detect pattern of change in statistical information over regular intervals of time. We project these patterns to arrive at estimate for the future. Thus times series helps us cope with uncertainty about the future. There are four ...

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