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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.

Text box: enter the past demands in the data area

Forecasting

Moving averages – 2 period moving average

Num pds

3

Data

Forecasts and Error Analysis

Period

Demand

Forecast

Error

Absolute

Squared

Abs Pct Err

Period 1

38

Period 2

40

Period 3

41

39

2

2

4

04.88%

Period 4

37

40.5

-3.5

3.5

12.25

09.46%

Period 5

45

39

6

6

36

13.33%

Total

4.5

11.5

52.25

27.67%

Average

1.5

3.833333

17.41667

09.22%

before forecast

Bias

MAD

MSE

MAPE

Period 6

50

47.5

2.5

2.5

6.25

05.00%

Period 7

44

Average

after forecast period 6

Bias

MAD

MSE

MAPE

Text box: enter the past demands in the data area

Forecasting

Moving averages – 3 period moving average

Num pds

3

Data

Forecasts and Error Analysis

Period

Demand

Forecast

Error

Absolute

Squared

Abs Pct Err

Period 1

38

Period 2

40

Period 3

41

Period 4

37

39.66667

-2.66667

2.666667

7.111111

07.21%

Period 5

45

39.33333

5.666667

5.666667

32.11111

12.59%

Total

3

8.333333

39.22222

19.80%

Average

1.5

4.166667

19.61111

09.90%

Bias

MAD

MSE

MAPE

Period 6

50

44

6

6

36

12.00%

Period 7

44

Average

after forecast period 6

Bias

MAD

MSE

MAPE

Text box: enter alpha (between 0 and 1), enter the past demands in the shaded column then enter a starting forecast. if the starting forecast is not in the first period then delete the error analysis for all rows above the starting forecast.

Forecasting

Exponential smoothing

Alpha

0.3

Data

Forecasts and Error Analysis

Period

Demand

Forecast

Error

Absolute

Squared

Abs Pct Err

Period 1

38

38

0

0

0

0.00%

Period 2

40

38

2

2

4

5.00%

Period 3

41

38.6

2.4

2.4

5.76

5.85%

Period 4

37

39.32

-2.32

2.32

5.3824

6.27%

Period 5

45

38.624

6.376

6.376

40.65338

14.17%

Total

8.456

13.096

55.79578

31.29%

Average

1.6912

2.6192

11.15916

06.26%

Before forecast

Bias

MAD

MSE

MAPE

SE

4.312608

Period 6

50

40.5368

9.4632

9.4632

89.55215

18.93%

Period 7

44

Average

after forecast period 6

Bias

MAD

MSE

MAPE

Text box: enter alpha and beta (between 0 and 1), enter the past demands in the shaded column then enter a starting forecast. if the starting forecast is not in the first period then delete the error analysis for all rows above the starting forecast.

Forecasting

Trend adjusted exponential
smoothing

Alpha

0.3

Beta

0.7

Data

Forecasts and Error Analysis

Period

Demand

Smoothed Forecast, Ft

Smoothed Trend, Tt

Forecast Including
Trend, FITt

Error

Absolute

Squared

Abs Pct Err

Period 1

38

38

38

0

0

0

00.00%

Period 2

40

38

0

38

2

2

4

05.00%

Period 3

41

38.6

0.42

39.02

1.98

1.98

3.9204

04.83%

Period 4

37

39.614

0.8358

40.4498

-3.4498

3.4498

11.90112

09.32%

Period 5

45

39.41486

0.111342

39.5262

5.473798

5.4738

29.96246

0.12164

Next period

41.16834

1.26084

42.42918

Total

6.003998

12.9036

49.78398

31.32%

41.16834

Average

1.2008

2.58072

9.956797

06.26%

Bias

MAD

MSE

MAPE

SE

4.073655

Next period

42.05093

0.617811

42.66874

Total

After forecast

Average

Bias

MAD

MSE

MAPE

SE

0

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