oca-Cola Revenues ($ millions), 2005–2010 Quarter 2005 2006 2007 2008 2009 2010 Qtr1 5,200 5,103 6,055 7,340 7,110 7,600 Qtr2 6,296 6,445 7,685 9,025 8,204 8,651 Qtr3 6,023 6,394 7,642 8,293 8,005 8,403 Qtr4 5,537 5,885 7,283 7,005 7,456 10,471   1. Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data.              1       2          3        4 2005   2006   2007   2008   2009 2010   mean   2.   State the adjusted four quarterly indexes.   Q1.      Q2.       Q3.      Q4   3. What is the trend model for the deseasonalized time series? yt=   xt+ State the model found when performing a regression using seasonal binaries.   yt=     +    t+   Q1+   Q2+   Q3   4. Use the regression equation to make a prediction for each quarter in 2011.   Quarter     Predicted Q1 Q2 Q3 Q4

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Chapter8: Sequences, Series, And Probability
Section8.7: Probability
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Coca-Cola Revenues ($ millions), 2005–2010
Quarter 2005 2006 2007 2008 2009 2010
Qtr1 5,200 5,103 6,055 7,340 7,110 7,600
Qtr2 6,296 6,445 7,685 9,025 8,204 8,651
Qtr3 6,023 6,394 7,642 8,293 8,005 8,403
Qtr4 5,537 5,885 7,283 7,005 7,456 10,471
 

1. Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data.

             1       2          3        4

2005
 
2006
 
2007
 
2008
 
2009

2010
 
mean
 
2.   State the adjusted four quarterly indexes.
 
Q1.      Q2.       Q3.      Q4
 
3. What is the trend model for the deseasonalized time series?
yt=   xt+

State the model found when performing a regression using seasonal binaries.
 
yt=     +    t+   Q1+   Q2+   Q3
 
4. Use the regression equation to make a prediction for each quarter in 2011.
 
Quarter     Predicted
Q1
Q2
Q3
Q4
 
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