Using the same time series data and trend forecast model, respond to the following items. Period Sales 1 $1, 001 1, 129 841 1, 044 youpWN 1, 012 703 682 8 712 9 646 10 686 11 909 12 469 13 566 14 488 15 688 16 675 17 303 18 381b. 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 Squared Squared Residuals Difference Residuals 1001 1,026.620 (25.620) 656.38 N 1129 990.384 138.616 (25.620) 26,973.57 19,214.52 841 954.147 (113.147) 138.616 63,384.95 12,802.30 1044 917.911 126.089 (113.147) 57,234.02 15,898.46 5 1012 881.675 130.325 126.089 17.95 16,984.72 6 703 845.438 (142.438) 130.325 74,400.02 20,288.66 682 809.202 (127.202) (142.438) 232.15 16, 180.33 8 712 g 646 10 686 11 909 12 469 13 566 14 488 15 688 16 675 17 303 18 381 Column sums 222,242.66 102,025.37 d=