Week 5
assignment
Forecasting Case Study: New Business Planning
Access the “Entrepreneurship and the U.S. Economy”
page of the Bureau of Labor Statistics website
(https://www.bls.gov/bdm/entrepreneurship/entrepreneurship.htm) and complete
this forecasting assignment according to the directions provided in the
“Forecasting Case Study: New Business Planning” resource.
Use an Excel spreadsheet file for the calculations and
explanations. Cells should contain the formulas (if a formula was used to
calculate the entry in that cell). Students are highly encouraged to use the Excel
resource, “Forecasting Template,” to complete this assignment.
Mac users can use StatPlus:mac LE, free of charge, from
AnalystSoft.
Prepare the assignment according to the guidelines found in
the APA Style Guide, located in the Student Success Center. An abstract is not
required.
This assignment uses a rubric. Please review the rubric
prior to beginning the assignment to become familiar with the expectations for
successful completion.
You are not required to submit this assignment to Turnitin.
Forecasting Case Study: New Business Planning
Important Note: Students must access the “Entrepreneurship
and the U.S. Economy” page of the Bureau of Labor Statistics website in order
to complete this assignment.
Scenario
The generation of new business start-up is vital to the
growth of the economy as it builds new jobs and creates new opportunities for
the community. The Bureau of Labor Statistics tracks new business development
and jobs created on the website for the United States Department of Labor. You
have been tasked with forecasting economic growth and decline patterns for new
businesses in the United States.
Forecasting
Access the “Entrepreneurship and the U.S. Economy” page of
the Bureau of Labor Statistics website. Under the “Business establishment
age” heading, the first chart reviews new businesses less than 1 year old
during the March 1994 to March 2015 period. Click on the [Chart data] link
below the chart:
Once the chart data window opens, you will see the number of
establishments that are less than 1 year old for each year during this period:
Using the five most recent years and the “Forecasting
Template” spreadsheet provided, complete the forecasts for the next two
periods and provide updated Totals and Average Bias, median absolute deviation
(MAD), mean squared error (MSE), and mean absolute percentage error (MAPE) for
all four charts. Provide a Summary Page in Excel with a 500-750 word report on
the analysis completed by the forecasting models. Include review of error,
recommendations on the best forecasting model to use, and analysis of the
business trend data for new business startup in the United States.
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Moving averages – 2 period moving average |
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Num pds |
3 |
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Data |
Forecasts and Error Analysis |
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Period |
Demand |
Forecast |
Error |
Absolute |
Squared |
Abs Pct Err |
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Period 1 |
38 |
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Period 2 |
40 |
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Period 3 |
41 |
39 |
2 |
2 |
4 |
04.88% |
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Period 4 |
37 |
40.5 |
-3.5 |
3.5 |
12.25 |
09.46% |
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Period 5 |
45 |
39 |
6 |
6 |
36 |
13.33% |
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Total |
4.5 |
11.5 |
52.25 |
27.67% |
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Average |
1.5 |
3.833333 |
17.41667 |
09.22% |
before forecast |
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Bias |
MAD |
MSE |
MAPE |
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Period 6 |
50 |
47.5 |
2.5 |
2.5 |
6.25 |
05.00% |
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Period 7 |
44 |
Average |
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after forecast period 6 |
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Bias |
MAD |
MSE |
MAPE |
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Moving averages – 3 period moving average |
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Num pds |
3 |
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Data |
Forecasts and Error Analysis |
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Period |
Demand |
Forecast |
Error |
Absolute |
Squared |
Abs Pct Err |
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Period 1 |
38 |
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Period 2 |
40 |
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Period 3 |
41 |
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Period 4 |
37 |
39.66667 |
-2.66667 |
2.666667 |
7.111111 |
07.21% |
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Period 5 |
45 |
39.33333 |
5.666667 |
5.666667 |
32.11111 |
12.59% |
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Total |
3 |
8.333333 |
39.22222 |
19.80% |
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Average |
1.5 |
4.166667 |
19.61111 |
09.90% |
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Bias |
MAD |
MSE |
MAPE |
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Period 6 |
50 |
44 |
6 |
6 |
36 |
12.00% |
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Period 7 |
44 |
Average |
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after forecast period 6 |
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|
Bias |
MAD |
MSE |
MAPE |
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Exponential smoothing |
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Alpha |
0.3 |
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Data |
Forecasts and Error Analysis |
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Period |
Demand |
Forecast |
Error |
Absolute |
Squared |
Abs Pct Err |
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Period 1 |
38 |
38 |
0 |
0 |
0 |
0.00% |
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Period 2 |
40 |
38 |
2 |
2 |
4 |
5.00% |
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Period 3 |
41 |
38.6 |
2.4 |
2.4 |
5.76 |
5.85% |
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Period 4 |
37 |
39.32 |
-2.32 |
2.32 |
5.3824 |
6.27% |
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Period 5 |
45 |
38.624 |
6.376 |
6.376 |
40.65338 |
14.17% |
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Total |
8.456 |
13.096 |
55.79578 |
31.29% |
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Average |
1.6912 |
2.6192 |
11.15916 |
06.26% |
Before forecast |
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Bias |
MAD |
MSE |
MAPE |
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|
SE |
4.312608 |
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Period 6 |
50 |
40.5368 |
9.4632 |
9.4632 |
89.55215 |
18.93% |
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Period 7 |
44 |
Average |
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|
after forecast period 6 |
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Bias |
MAD |
MSE |
MAPE |

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Trend adjusted exponential |
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Alpha |
0.3 |
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Beta |
0.7 |
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Data |
Forecasts and Error Analysis |
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Period |
Demand |
Smoothed Forecast, Ft |
Smoothed Trend, Tt |
Forecast Including |
Error |
Absolute |
Squared |
Abs Pct Err |
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Period 1 |
38 |
38 |
38 |
0 |
0 |
0 |
00.00% |
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Period 2 |
40 |
38 |
0 |
38 |
2 |
2 |
4 |
05.00% |
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Period 3 |
41 |
38.6 |
0.42 |
39.02 |
1.98 |
1.98 |
3.9204 |
04.83% |
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Period 4 |
37 |
39.614 |
0.8358 |
40.4498 |
-3.4498 |
3.4498 |
11.90112 |
09.32% |
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Period 5 |
45 |
39.41486 |
0.111342 |
39.5262 |
5.473798 |
5.4738 |
29.96246 |
0.12164 |
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Next period |
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41.16834 |
1.26084 |
42.42918 |
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Total |
6.003998 |
12.9036 |
49.78398 |
31.32% |
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41.16834 |
Average |
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|
1.2008 |
2.58072 |
9.956797 |
06.26% |
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Bias |
MAD |
MSE |
MAPE |
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|
SE |
4.073655 |
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Next period |
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42.05093 |
0.617811 |
42.66874 |
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Total |
After forecast |
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Average |
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Bias |
MAD |
MSE |
MAPE |
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SE |
0 |
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