Year Quarter Revenue 2005 Qtr1 5,206 In row-column format Qtr2 6,310 Quarter 2005 2006 2007 2008 2009 2010 Qtr3 6,037 Qtr1 5,206 5,226 6,103 7,379 7,169 7,525 Qtr4 5,551 Qtr2 6,310 6,476 7,733 9,046 8,267 8,674 2006 Qtr1 5,226 Qtr3 6,037 6,454 7,690 8,393 8,044 8,426 Qtr2 6,476 Qtr4 5,551 5,932 7,331 7,126 7,510 10,494 Qtr3 6,454 Qtr4 5,932 2007 Qtr1 6,103 Qtr2 7,733 Qtr3 7,690 Qtr4 7,331 2008 Qtr1 7,379 Qtr2 9,046 Qtr3 8,393 Qtr4 7,126 2009 Qtr1 7,169 Qtr2 8,267 Qtr3 8,044 Qtr4 7,510 2010 Qtr1 7,525 Qtr2 8,674 Qtr3 8,426 Qtr4 10,494 (a-1) Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data. (Round your answers to 3 decimal places.) 1 2 3 4 2005 2006 2007 2008 2009 2010 mean (a-2) State the adjusted four quarterly indexes. (Round your answers to 3 decimal places.) Q1 Q2 Q3 Q4 (a-3) What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) yt = xt + (b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1 + Q2 + Q3 (c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.) Quarter Predicted Q1 Q2 Q3 Q4

Year Quarter Revenue 2005 Qtr1 5,206 In row-column format Qtr2 6,310 Quarter 2005 2006 2007 2008 2009 2010 Qtr3 6,037 Qtr1 5,206 5,226 6,103 7,379 7,169 7,525 Qtr4 5,551 Qtr2 6,310 6,476 7,733 9,046 8,267 8,674 2006 Qtr1 5,226 Qtr3 6,037 6,454 7,690 8,393 8,044 8,426 Qtr2 6,476 Qtr4 5,551 5,932 7,331 7,126 7,510 10,494 Qtr3 6,454 Qtr4 5,932 2007 Qtr1 6,103 Qtr2 7,733 Qtr3 7,690 Qtr4 7,331 2008 Qtr1 7,379 Qtr2 9,046 Qtr3 8,393 Qtr4 7,126 2009 Qtr1 7,169 Qtr2 8,267 Qtr3 8,044 Qtr4 7,510 2010 Qtr1 7,525 Qtr2 8,674 Qtr3 8,426 Qtr4 10,494 (a-1) Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data. (Round your answers to 3 decimal places.) 1 2 3 4 2005 2006 2007 2008 2009 2010 mean (a-2) State the adjusted four quarterly indexes. (Round your answers to 3 decimal places.) Q1 Q2 Q3 Q4 (a-3) What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) yt = xt + (b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1 + Q2 + Q3 (c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.) Quarter Predicted Q1 Q2 Q3 Q4

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Year	Quarter	Revenue
2005	Qtr1	5,206	In row-column format
	Qtr2	6,310	Quarter	2005	2006	2007	2008	2009	2010
	Qtr3	6,037	Qtr1	5,206	5,226	6,103	7,379	7,169	7,525
	Qtr4	5,551	Qtr2	6,310	6,476	7,733	9,046	8,267	8,674
2006	Qtr1	5,226	Qtr3	6,037	6,454	7,690	8,393	8,044	8,426
	Qtr2	6,476	Qtr4	5,551	5,932	7,331	7,126	7,510	10,494
	Qtr3	6,454
	Qtr4	5,932
2007	Qtr1	6,103
	Qtr2	7,733
	Qtr3	7,690
	Qtr4	7,331
2008	Qtr1	7,379
	Qtr2	9,046
	Qtr3	8,393
	Qtr4	7,126
2009	Qtr1	7,169
	Qtr2	8,267
	Qtr3	8,044
	Qtr4	7,510
2010	Qtr1	7,525
	Qtr2	8,674
	Qtr3	8,426
	Qtr4	10,494

(a-1) Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data. (Round your answers to 3 decimal places.)

	1	2	3	4
2005
2006
2007
2008
2009
2010
mean

(a-2) State the adjusted four quarterly indexes. (Round your answers to 3 decimal places.)

Q1	Q2	Q3	Q4

(a-3) What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.)

y_t = x_t +

(b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.)

y_t = + t + Q1 + Q2 + Q3

(c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.)

Quarter	Predicted
Q1
Q2
Q3
Q4

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