A third-order autoregressive model is fitted to an annual time series with 16 values. The estimated parameters are 80 4.40, a₁ = 1.60, a2 = 0.70, a3 = 0.24, and the three most recent values are Y₁4 18, Y15=27, and Y16 = 39. Forecast the values for the next year and the following year. Y17-(Type an integer or a decimal.)
A third-order autoregressive model is fitted to an annual time series with 16 values. The estimated parameters are 80 4.40, a₁ = 1.60, a2 = 0.70, a3 = 0.24, and the three most recent values are Y₁4 18, Y15=27, and Y16 = 39. Forecast the values for the next year and the following year. Y17-(Type an integer or a decimal.)
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter2: Equations And Inequalities
Section2.1: Equations
Problem 70E
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![A third-order autoregressive model is fitted to an annual time series with 16 values. The estimated parameters are
ao 4.40, a₁ = 1.60, a2=0.70, ag=0.24, and the three most recent values are Y14 =18, Y15 = 27, and Y16 = 39.
Forecast the values for the next year and the following year.
17(Type an integer or a decimal.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0c5dd1e8-3a47-4cfd-bf0c-1ea423afdc89%2F8940dcdf-cf5c-4e33-b263-af02b44c4c6d%2Fb654xge_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A third-order autoregressive model is fitted to an annual time series with 16 values. The estimated parameters are
ao 4.40, a₁ = 1.60, a2=0.70, ag=0.24, and the three most recent values are Y14 =18, Y15 = 27, and Y16 = 39.
Forecast the values for the next year and the following year.
17(Type an integer or a decimal.)
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