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A third-order autoregressive model is fitted to an annual time series with 19 values. The estimated parameters are ao 5.40, a, 1.20, 20.70, 0.25, and the three most recent values are Y₁7=17, Y₁ =20, and Y₁9-23. Forecast the values for the next year and the following year. 920-51.25 (Type an integer or a decimal.) 21-(Type an integer or a decimal.)

A third-order autoregressive model is fitted to an annual time series with 19 values. The estimated parameters are ao 5.40, a, 1.20, 20.70, 0.25, and the three most recent values are Y₁7=17, Y₁ =20, and Y₁9-23. Forecast the values for the next year and the following year. 920-51.25 (Type an integer or a decimal.) 21-(Type an integer or a decimal.)

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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A third-order autoregressive model is fitted to an annual time series with 19 values. The estimated parameters are ao 5.40, a, 1.20, 20.70, 0.25, and the three most recent values are Y₁7=17, Y1 =20, and Y₁9-23. Forecast the values for the next year and the following year. 20- 51.25 (Type an integer or a decimal.) 21-(Type an integer or a decimal.)
Transcribed Image Text:A third-order autoregressive model is fitted to an annual time series with 19 values. The estimated parameters are ao 5.40, a, 1.20, 20.70, 0.25, and the three most recent values are Y₁7=17, Y1 =20, and Y₁9-23. Forecast the values for the next year and the following year. 20- 51.25 (Type an integer or a decimal.) 21-(Type an integer or a decimal.)
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