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Presented by: Teshia Aira Garnica
Presented to: Dr Jericho Inarda, ABE
- A time series is a sequence of data points that occur in successive order over some period of time.
- A time series may be defined as a collection of reading belonging to different time periods of some economic or composite variables”.
Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).
Time series regression is a statistical method for predicting a future response based on the response history (known as autoregressive dynamics) and the transfer of dynamics from relevant predictors. Time series regression can help you understand and predict the behavior of dynamic systems from experimental or observational data. Common uses of time series regression include modeling and forecasting of economic, financial, biological, and engineering systems.
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