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Sep 20, 2017 9:08 AM
(646 views)

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Sep 25, 2017 6:55 PM
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Solution

According to ARIMA (http://www.jmp.com/support/help/13-2/Statistical_Details_for_ARIMA_Models.shtml#409330),

So, the AR(1) model you fit is: Y(t)-105=0.8*(Y(t-1)-105) +e(t), or Y(t)=21+0.8*Y(t-1)+e(t)

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Sep 25, 2017 6:55 PM
(1150 views)

According to ARIMA (http://www.jmp.com/support/help/13-2/Statistical_Details_for_ARIMA_Models.shtml#409330),

So, the AR(1) model you fit is: Y(t)-105=0.8*(Y(t-1)-105) +e(t), or Y(t)=21+0.8*Y(t-1)+e(t)

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Sep 30, 2017 4:19 PM
(554 views)