What are five aspects of time series forecasts

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Reference no: EM132250733

Ch. 5 Homework

1. What are 3 types of business forecasting methods?

2. What are 5 aspects of time series forecasts?

3. What is a shortcoming of using moving average to forecast?

4. What are two advantages of using a weighted forecast?

5. What is exponential smoothing and what is a shortcoming of it?

6. When evaluating a statistical result at 95% confidence, a P value of 3% would tell you to accept or reject the null hypothesis

7. What does a seasonal index of 1.25 mean?

8. Mean absolute deviation (MAD) is a measure of what and what is a weakness of it compared to MAPE?

Using Excel solve:

9. What are forecasted sales in month 4 using a simple moving average?

Month

Sales

Forecast

1

3


2

5


3

8


4

 

 

10.  What are forecasted sales in month 4 using a weighted moving average?

60%

most recent month

30%

2 months ago

10%

3 months ago




Month

Sales


1

3


2

5


3

8


4

 

 

11.  What are forecasted sales in weeks 1 through 5 using exponential smoothing?

Week

Demand

Forecast (α=0.2)

1

500

 

2

600

 

3

400

 

4

300

 

5

500

 


12.  What are forecasted sales in months 1 &2 using exponential smoothing with trend?





(β=0.4)





(α=0.2)

Month

Actual

Smoothed Forecast

Smoothed Trend

Forecast Including Trend

1

10

9

2

 

2

20

 

 

 

13.  Across the months of Jan - May what are the season indexes in sales?

Month

2001

2002

2003

Avg over 3 yrs

Monthly avg

Seasonal Index

Jan

60

67

70

 

 

 

Feb

64

68

69

 

 

 

March

90

98

100

 

 

 

April

100

105

110

 

 

 

May

100

110

120

 

 

 

14.  How accurate is the forecasting department at predicting sales?

Month

Sales

Forecast


1

30

32


2

50

39


3

30

40


4

20

32








MAD =

 










MAPE =

 



% accuracy =

 

15.  Use tracking signals to answer if the forecast in control







Cummulative








Absolute

Absolute



Month

Sales

Forecast

Error

RSFE

Forecast Error

Forecast Error

MAD

Tracking signal

1

30

32

 

 

 

 

 

 

2

50

39

 

 

 

 

 

 

3

30

40

 

 

 

 

 

 

4

20

32

 

 

 

 

 

 

16.  You are the manager of a toy factory.  Sales have been steadily climbing year-on-year.  Does the increase in sales follow a linear trend?  If so, what is the equation and % variation in sales explained by the model? (Use Excel Data Analysis Regression).

Year

Sales

2012

2000

2013

3000

2014

3100

2015

3300

2016

3500

17.  Using the VizDataEffectively file complete graphs for Benchmark (Ch 4 Effective Data Visualization) and BulletChart1 (Ch 4 Effective Data Visualization)

18.  Using the Pivot_table_sample file, produce a 2D bar chart showing sum of years registered by Party?

Reference no: EM132250733

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