We appreciate your visit to Given a linear time series trend tex Y 5 2 3 1t tex developed from a data set ranging from the years 2000 to 2009. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
To forecast the value of the linear time series trend for the year 2013, we first need to determine the value of the variable [tex]t[/tex] for that year.
The time series starts in the year 2000, so [tex]t = 0[/tex] corresponds to the year 2000. Each subsequent year increases [tex]t[/tex] by 1.
For the year 2013, we calculate [tex]t[/tex] as:
[
t = 2013 - 2000 = 13
]
Substitute [tex]t = 13[/tex] into the linear trend equation:
[tex]Y = 5.2 + 3.1t[/tex]
[tex]Y = 5.2 + 3.1 \times 13[/tex]
Calculate:
[tex]Y = 5.2 + 40.3 = 45.5[/tex]
Therefore, the forecast for 2013 according to the given linear time series trend is [tex]45.5[/tex].
The correct multiple choice option is a. 45.5.
Thanks for taking the time to read Given a linear time series trend tex Y 5 2 3 1t tex developed from a data set ranging from the years 2000 to 2009. We hope the insights shared have been valuable and enhanced your understanding of the topic. Don�t hesitate to browse our website for more informative and engaging content!
- Why do Businesses Exist Why does Starbucks Exist What Service does Starbucks Provide Really what is their product.
- The pattern of numbers below is an arithmetic sequence tex 14 24 34 44 54 ldots tex Which statement describes the recursive function used to..
- Morgan felt the need to streamline Edison Electric What changes did Morgan make.
Rewritten by : Barada
