53676 22808737 1010818 12578992 10217533 194394

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Unformatted text preview: 6 3.0000941 -9.4E-005 0.3102634 1 -1.4432975 0.292462175 2.7357597 -1.73576 2.0831077 4 1.55639207 -0.31317954 2.1304284 1.8695716 2.4223563 2.1887054 8.86E-009 3.0128616 3.495298 703 2.44391836 704 3.31798616 705 3.31829659 1 -1.443918 0.5950480547 3.0389664 3 -0.317986 -0.31336752 3.0046186 5 1.68170341 0.0275353229 3.3458319 -2.038966 2.0849002 -0.004619 0.1011152 1.6541681 2.8281264 4.157384 2.13E-005 2.7362721 706 3.31860702 707 3.31891745 708 3.94298667 3 -0.318607 0.6329890528 3.9515961 5 1.68108255 0.027347343 3.3462648 1 -2.942987 0.6328010726 4.5757877 -0.951596 1.6537352 -3.575788 0.1015104 0.9055351 2.8260385 2.7348401 8.6611705 12.786258 709 3.9432971 710 3.94360753 711 3.943917 4 3 0.8239491 -1.084589 0.0032152 0.8903952 0.0567029 -0.767246214 3.1760509 -0.943608 0.1409813759 4.0845889 1.3289716 -2.125687 -0.217582 0.6788921 1.1763331 8.588477 8.219702 ARIMA Model ARIMA Coeff StErr p-value Const. term 0.12381322 0.25998509 0.63390911 AR1 0.30277386 0.0262031 0 XLMiner : Time Series - ACF (Autocorrelations) Date: 03-May-2013 17:01:31 Inputs Data # Records in input data Selected variable 1323 Residual Parameters/Options Max Lag 7 ACF Values ACF 0 1 2 3 4 5 6 7 1 0.3026793 0.13063926 0.03105238 0.14955829 0.01269807 -0.04298793 -0.05728381 ACF Plot for Re sidual 1 0.5 ACF Lags 0 0 1 2 3 -0.5 -1 La gs Column E 4 5 6 7 (Ver: 4.0.2E) XLMiner : Arima Model Date: 03-May-2013 17:05:03 Output Navigator Inputs Arima Model Residuals Elapsed Time Forecast ACF Plot Var Covar Inputs Data # Records in input data Input data Selected variable 1323 FittedValues!$A$2:$D$1324 Residual Parameters/Options Do Not Fit Constant Term AR MA Ordinary Difference Show Residual Output No 1 0 0 Yes ARIMA Model ARIMA Const. term AR1 Coeff 0.12381322 0.30277386 Mean -2LogL S #Iterations 12 0 63.80994034 11 p-value 0.63390911 0 0.17758 9133.698242 7.636308 7 Lag p-Value ChiSq df StErr 0.25998509 0.0262031 24 0 85.4305954 23 Elapsed Time Overall (secs) 2.00 36 48 0.00000009 0.00000003 97.332...
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