Project Eli Orchid has designed a new pharmaceutical product, Orchid Relief, which improves the night sleep. Before initiating mass production of the product, Eli Orchid has been market-testing Orchid...


Project



Eli Orchid
has designed a new pharmaceutical product, Orchid Relief, which improves the night sleep. Before initiating mass production of the product, Eli Orchid has been market-testing Orchid Relief in Orange County over the past 8 weeks. The daily demand values are recorded in the Excel file provided. Eli Orchid plans on using the sales data to predict sales for the upcoming week. An accurate forecast would be helpful in making arrangements for the company’s production processes and designing promotions.


The COO of the company approved the initial analysis and asked for the following extensions[1]:


























To fit a new multiple regression model with dummy variables for weekdays (not the weekend), and to provide the regression equation (d = a*t + b1x1
+ b2x2
+ b3x3
+ b4x4
+ b5x5
+ b6x6+ c), along with Adjusted R2.



d =


Adjusted R2=



To use all three models:


· M1: d = 1.0356t + 339.29


· M2: d=0.7163t+116.7679w+315.0262


· M3: (the one considering weekdays)


to predict the demand for seven days ahead (Mon, Tue, …, Sun) and find the total weekly demand.































































M1




M2




M3



Mon.






Tue.






Wed.






Thu.






Fri.






Sat.






Sun.







TOTAL:







Take advantage of the fact that new demand data became available and use this new data to compare the forecasts using MAPE for days 57-63.



New: M: 311 T: 341 W: 357 Th: 363 F: 390 Sa: 490 Su: 492


MAPEM1:


MAPEM2:


MAPEM3:



To provide a line chart with the actual demand (including the new data) and M2 and M3.




To choose the best model for forecasting daily demand at Orchid Relief for 7 days ahead and write a short paragraph explaining your choice.


Note: this paragraph can be on page 2. The answers to previous questions must all fit on the first page.



[write your paragraph here]



[1] Round numbers to four decimal points (e.g. 0.1234), unless explicitly requested otherwise.




















































































































































































































































































































































































































DayDateWeekdayDaily DemandWeekend
14/25/2016Mon2970
24/26/2016Tue2930
34/27/2016Wed3270
44/28/2016Thu3150
54/29/2016Fri3480
64/30/2016Sat4471
75/1/2016Sun4311
85/2/2016Mon2830
95/3/2016Tue3260
105/4/2016Wed3170
115/5/2016Thu3450
125/6/2016Fri3550
135/7/2016Sat4281
145/8/2016Sun4541
155/9/2016Mon3050
165/10/2016Tue3100
175/11/2016Wed3500
185/12/2016Thu3080
195/13/2016Fri3660
205/14/2016Sat4601
215/15/2016Sun4271
225/16/2016Mon2910
235/17/2016Tue3250
245/18/2016Wed3540
255/19/2016Thu3220
265/20/2016Fri4050
275/21/2016Sat4421
285/22/2016Sun4541
295/23/2016Mon3180
305/24/2016Tue2980
315/25/2016Wed3550
325/26/2016Thu3550
335/27/2016Fri3740
345/28/2016Sat4471
355/29/2016Sun4631
365/30/2016Mon2910
375/31/2016Tue3190
386/1/2016Wed3330
396/2/2016Thu3390
406/3/2016Fri4160
416/4/2016Sat4751
426/5/2016Sun4591
436/6/2016Mon3190
446/7/2016Tue3260
456/8/2016Wed3560
466/9/2016Thu3400
476/10/2016Fri3950
486/11/2016Sat4651
496/12/2016Sun4531
506/13/2016Mon3070
516/14/2016Tue3240
526/15/2016Wed3500
536/16/2016Thu3480
546/17/2016Fri3840
556/18/2016Sat4741
566/19/2016Sun4851
May 19, 2022
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