Using the same time series data and trend forecast model, respond to the following items. Period Sales $1,001 1,129 841 1,044 1,012 703 682 712 646 686 909 469 566 488 688 675 303 381 LE34Fn6roa 2 5 8 9 10 11 12 13 14 15 16 17 18
b. Test for autocorrelation using the .05 significance level. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) Period Sales Forecast Residuals Lagged Residuals Squared Difference Squared Residuals (25.60) 1 1001 2 1129 3 841 4 1044 5 1012 6 703 682 712 646 686 909 469 566 488 688 675 303 381 Column sums (25.60) 7 8 9 10 11 12 13 14 15 16 17 18 0.00 d=
Using the same time series data and trend forecast model, respond to the following items. Period Sales $1,001 1,129 841
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Using the same time series data and trend forecast model, respond to the following items. Period Sales $1,001 1,129 841
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