Simple Linear Regression for Forecasting Sales

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Question

Year

 

1988

1989

 

1990

1991

1992

1993

1994

1995

1996

Sales

 

328

463

 

543

481

514

687

839

861

1145

 

 

 

 

 

 

 

 

 

 

 

Year

1997

1998

1999

2000

2001

2002

 

2003

 

2004

2005

Sales

1071

1271

1288

1353

1591

1485

 

1625

 

1807

1713

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Year

 

2006

 

2007

2008

2009

2010

2011

2012

2013

2014

Sales

 

1920

 

2135

2053

2137

2383

2390

2540

2783

2900

 

  1. Use the regression function in Excel to forecast sales for 1988 to 2015.
  2. Use simple moving average (with k = 4) to forecast sales for 1992 to 2015.
  3. Use Mean Absolute Percent Error (MAPE) to determine whether simple linear regression or simple moving average is more accurate in forecasting sales, making sure to clearly show the MAPE values for the two forecasts.
  4. Plot the actual sales, and your forecasts in parts Q1 and Q2 above on a line graph.

Summary

This question belongs to statistics and discusses about simple linear regression.

Word count: NA

 

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