Phase 1 – Forecasting Applications
Phase 1 – Forecasting Applications.
Deliverable Length: 300–400 words + 1 Excel spreadsheet
Due Date: 1/15/2014 11:59:59 PM CT [removed]
Weekly tasks or assignments (Individual or Group Projects) will be due by Monday and late submissions will be assigned a late penalty in accordance with the late penalty policy found in the syllabus. NOTE: All submission posting times are based on midnight Central Time.
For the following set of data, construct a line graph, and interpret the trend.
|
Sales |
2008 |
2009 |
2010 |
|
Jan |
80,250 |
87,500 |
91,375 |
|
Feb |
76,450 |
79,235 |
81,180 |
|
March |
84,278 |
89,567 |
94,576 |
|
April |
74,598 |
77,891 |
83,455 |
|
May |
69,489 |
71,344 |
79,511 |
|
June |
67,777 |
69,001 |
74,666 |
|
July |
58,914 |
64,577 |
70,788 |
|
August |
66,788 |
73,522 |
79,234 |
|
Sept |
67,999 |
75,354 |
78,299 |
|
Oct |
89,444 |
92,389 |
98,123 |
|
Nov |
94,777 |
99,222 |
109,511 |
|
Dec |
101,888 |
106,666 |
114,444 |
Answer the following questions:
- When is the peak season period?
- What period of time represents the lowest earnings period?
- What is the trend between 2008 and 2010?
- What kind of company would this represent? Why?
- Give specific reasons by explaining the data.
Explain your answers.


