For this tutorial, use L3D = 178. Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500+L3D

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answerhappygod
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For this tutorial, use L3D = 178. Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500+L3D

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For This Tutorial Use L3d 178 Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500 L3d 1
For This Tutorial Use L3d 178 Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500 L3d 1 (3.82 KiB) Viewed 37 times
For This Tutorial Use L3d 178 Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500 L3d 2
For This Tutorial Use L3d 178 Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500 L3d 2 (53.63 KiB) Viewed 37 times
For this tutorial, use L3D = 178.

Jan 980 Feb Mar April May June April Aug Sept July 1550 1100 1270 1325 1380 1500+L3D 1530 1560 +2(L3D) +2(L3D) +2(L3D) (b) As an industrial engineer, you intend to use linear trend (or linear regression) method to solve a forecasting problem. You have decided to use the equation of y = m(x) + c to establish the relationship between the sales (y) and the related month (x). It is known that 8 consecutive months data (Jan to Aug) were used and they resulted to the following parameter values of m= 150 + L3D and c = 1000 + 0.1(L3D). Using the regression technique, estimate the percentage of sales improvement from December this year to June next year. (3 marks)
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