Specific motors produces electronic motors for power-actuated valves for the Medicalconstruction industry. Specific's production plant has operated at near capacity forover a year now. JOSEPH Bakkabulindi, the plant manager thinks that the growth insales will continue, and he wants to develop a long- range forecast to be used to planfacility requirements for the next 3 years. Sales records for the past 10 years havebeen accumulated: N.B: Show all the workings. Solve with Linear regression. Year Annual sales (000's of units) Year Annual sales (000's of units 1 500 6 1,000 2 650 7 1,100 3 900 8 1,300 4 1,000 9 1,450 5 1,000 10 1,600
Specific motors produces electronic motors for power-actuated valves for the Medicalconstruction industry. Specific's production plant has operated at near capacity forover a year now. JOSEPH Bakkabulindi, the plant manager thinks that the growth insales will continue, and he wants to develop a long- range forecast to be used to planfacility requirements for the next 3 years. Sales records for the past 10 years havebeen accumulated: N.B: Show all the workings. Solve with Linear regression. Year Annual sales (000's of units) Year Annual sales (000's of units 1 500 6 1,000 2 650 7 1,100 3 900 8 1,300 4 1,000 9 1,450 5 1,000 10 1,600
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Question
Specific motors produces electronic motors for power-actuated valves for the Medical
construction industry. Specific's production plant has operated at near capacity for
over a year now. JOSEPH Bakkabulindi, the plant manager thinks that the growth in
sales will continue, and he wants to develop a long- range
facility requirements for the next 3 years. Sales records for the past 10 years have
been accumulated: N.B: Show all the workings. Solve with Linear regression.
| Year | Annual sales (000's of units) | Year | Annual sales (000's of units |
| 1 | 500 | 6 | 1,000 |
| 2 | 650 | 7 | 1,100 |
| 3 | 900 | 8 | 1,300 |
| 4 | 1,000 | 9 | 1,450 |
| 5 | 1,000 | 10 | 1,600 |
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