The Bechtal Tire Company (BTC) is a supplier of automotive

The Bechtal Tire Company (BTC) is a supplier of automotive tires for U.S. car companies. BTC has hired you to analyze its sales. For this problem, do all the work in Forecast X™ and be sure to request the MAPE in the statistics tab. Data from 1995 Q1 through 2016 Q4 are given in the following table (in thousands of units):

Period

Sales of Tires

Period

Sales of Tires

Period

Sales of Tires

Period

Sales of Tires

Period

Sales of Tires

Mar-95

2,029

Mar-00

1,752

Mar-05

2,155

Mar-10

1,994

Mar-14

1,914

Jun-95

2,347

Jun-00

2,138

Jun-05

2,231

Jun-10

2,251

Jun-14

2,076

Sep-95

1,926

Sep-00

1,927

Sep-05

1,971

Sep-10

1,855

Sep-14

1,787

Dec-95

2,162

Dec-00

1,546

Dec-05

1,875

Dec-10

1,852

Dec-14

1,763

Mar-96

1,783

Mar-01

1,506

Mar-06

1,850

Mar-11

2,042

Mar-15

1,707

Jun-96

2,190

Jun-01

1,709

Jun-06

1,551

Jun-11

2,273

Jun-15

2,019

Sep-96

1,656

Sep-01

1,734

Sep-06

1,515

Sep-11

2,218

Sep-15

1,898

Dec-96

1,491

Dec-01

2,002

Dec-06

1,666

Dec-11

1,672

Dec-15

1,454

Mar-97

1,974

Mar-02

2,025

Mar-07

1,733

Mar-12

1,898

Mar-16

1,706

Jun-97

2,276

Jun-02

2,376

Jun-07

1,576

Jun-12

2,242

Jun-16

1,878

Sep-97

1,987

Sep-02

1,970

Sep-07

1,618

Sep-12

2,247

Sep-16

1,752

Dec-97

2,425

Dec-02

2,122

Dec-07

1,282

Dec-12

1,827

Dec-16

1,560

Mar-98

2,064

Mar-03

2,128

Mar-08

1,401

Mar-13

1,669

Mar-17

Jun-98

2,517

Jun-03

2,538

Jun-08

1,535

Jun-13

1,973

Jun-17

Sep-98

2,147

Sep-03

2,081

Sep-08

1,327

Sep-13

1,878

Sep-17

Dec-98

2,524

Dec-03

2,223

Dec-08

1,494

Dec-13

1,561

Dec-17

Mar-99

2,451

Mar-04

2,027

Mar-09

1,456

Jun-99

2,718

Jun-04

2,727

Jun-09

1,876

Sep-99

2,229

Sep-04

2,140

Sep-09

1,646

Dec-99

2,190

Dec-04

2,270

Dec-09

1,813

  1. Write a report to Bechtal Tire Company in which you explain what a time-series decomposition analysis shows about its tire sales. Include in your discussion seasonal, cyclical, and trend components. 
  2. Show a time-series graph with the actual data and the values that the time-series decomposition model would predict for each quarter from 1995 Q1 through 2017 Q4 (some data will be missing for certain historical quarters, and, of course for 2017, you will have only the forecast values). 
  3. If actual sales for 2017 were Q1 = 1,445.1, Q2 = 1,683.8, Q3 = 1,586.6, and Q4 = 1,421.3, what MAPE would result from your 2017 forecast?

How does this MAPE compare to the MAPE Forecats X™ calculated for the historic period?

 

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