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Analysis of Data for an Autoregressive Forecasting Model Produced the Following

Question 35

Multiple Choice

Analysis of data for an autoregressive forecasting model produced the following tables: Analysis of data for an autoregressive forecasting model produced the following tables: The forecasting model is ___. A) y<sub>t</sub> = 5.745787 + 0.062849 y<sub>t-1</sub><sub> </sub>+ 0.065709 y<sub>t-2</sub> B) y<sub>t</sub> = 4.85094 - 0.10434 y<sub>t-1</sub><sub> </sub>+ 0.962669 y<sub>t-2</sub> C) y<sub>t</sub> = 0.84426 - 1.66023 y<sub>t-1</sub><sub> </sub>+ 14.65023 y<sub>t-2</sub> D) y<sub>t</sub> = 0.40299 + 0.103822 y<sub>t-1</sub><sub> </sub>+ 9.y<sub>t-2</sub> E) y<sub>t</sub> = 0.40299 + 0.103822 y<sub>t-1</sub><sub> </sub>- 9.y<sub>t-2</sub> Analysis of data for an autoregressive forecasting model produced the following tables: The forecasting model is ___. A) y<sub>t</sub> = 5.745787 + 0.062849 y<sub>t-1</sub><sub> </sub>+ 0.065709 y<sub>t-2</sub> B) y<sub>t</sub> = 4.85094 - 0.10434 y<sub>t-1</sub><sub> </sub>+ 0.962669 y<sub>t-2</sub> C) y<sub>t</sub> = 0.84426 - 1.66023 y<sub>t-1</sub><sub> </sub>+ 14.65023 y<sub>t-2</sub> D) y<sub>t</sub> = 0.40299 + 0.103822 y<sub>t-1</sub><sub> </sub>+ 9.y<sub>t-2</sub> E) y<sub>t</sub> = 0.40299 + 0.103822 y<sub>t-1</sub><sub> </sub>- 9.y<sub>t-2</sub> The forecasting model is ___.


A) yt = 5.745787 + 0.062849 yt-1 + 0.065709 yt-2
B) yt = 4.85094 - 0.10434 yt-1 + 0.962669 yt-2
C) yt = 0.84426 - 1.66023 yt-1 + 14.65023 yt-2
D) yt = 0.40299 + 0.103822 yt-1 + 9.yt-2
E) yt = 0.40299 + 0.103822 yt-1 - 9.yt-2

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