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Time Series Regression Model

Presented by: Teshia Aira Garnica

Presented to: Dr Jericho Inarda, ABE

Time Series Regression Model

DEFINITION

Time Series

Time Series

- 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

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).

Regression

Time Series Regression

Time Series Regression

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.

TITLE

NEWS

WHERE

WE ARE

WHERE

WE ARE

Update 1

Update 1

Update 2

Update 2

ANNOUNCEMENTS

COMPANY

NEWS

NEWS

NEWS

EVENTS

NEW

EMPLOYEES

NEW

HIRE

Name

Department

Start date

NEW

HIRE

NEW

HIRE

Name

Department

Start date

NEW

HIRE

SPECIAL

DATES

SPECIAL

DATES

Name

Birthday

Name

Department

Years with Company

MAR

JAN

FEB

WHAT'S

NEXT

WHAT'S NEXT

MAR

JAN

FEB

KEEP

IN

MIND

KEEP IN

MIND

02.

01.

03.

CHANGES

CHANGES

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