Find the forecast errors

A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing (let a = 0.4 with an initial forecast for week 1 of 596) methods to forecast demand for week 13. Compare these methods by using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if so, by how much? 1 4 5 Period Sales 2 619 3 650 6 608 7 759 8 710 9 735 10 741 11 663 12 748 596 734 644 (i) Obtain the trend projection with regression forecast. The forecast for week 13 is 753. (Enter your response rounded to the nearest whole number.) Specify the mean absolute deviation (MAD) and mean absolute percent error (MAPE). (Enter your responses rounded to two decimal places.) MAPE MAD 35 5.15 % (ii) Obtain the exponential smoothing forecast. The forecast for week 13 is (Enter your response rounded to the nearest whole number.) Please copy and paste data from text area below. Selected delimiter: Tab 2 3 5 8 9 10 11 Period 1 Sales 596 Observation 619 644 759 6 608 5 710 735 650 2 741 734 3 663 10 4 6 7 8 9 Find the mean absolute percent error (MAPE). Find the mean absolute deviation (MAD). The forecast errors E are determined by subtracting the forecasted values from the actual, E; = D1 -Ft