5. For a time series data set with 100 observations. ₂2 = 1.76440, Ŷs = 0.85559 and r₂ = 0.62805. Then r5 = For an appro

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5. For a time series data set with 100 observations. ₂2 = 1.76440, Ŷs = 0.85559 and r₂ = 0.62805. Then r5 = For an appro

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5 For A Time Series Data Set With 100 Observations 2 1 76440 Ys 0 85559 And R 0 62805 Then R5 For An Appro 1
5 For A Time Series Data Set With 100 Observations 2 1 76440 Ys 0 85559 And R 0 62805 Then R5 For An Appro 1 (14.67 KiB) Viewed 20 times
5. For a time series data set with 100 observations. ₂2 = 1.76440, Ŷs = 0.85559 and r₂ = 0.62805. Then r5 = For an approximation of the standard error of rs if the time series is white noise, we have se (rs) =
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