Question
Coca-Cola Revenues ($ millions), 2014 to 2019 Quarter 2014 2015 2016 2017 2018 2019 Quarter1 10.58 10.71 10.28 9.12 7.63 8.02 Quarter2 12.57 12.16 11.54
Coca-Cola Revenues ($ millions), 2014 to 2019 | ||||||
---|---|---|---|---|---|---|
Quarter | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
Quarter1 | 10.58 | 10.71 | 10.28 | 9.12 | 7.63 | 8.02 |
Quarter2 | 12.57 | 12.16 | 11.54 | 9.70 | 9.42 | 10.00 |
Quarter3 | 11.98 | 11.43 | 10.63 | 9.08 | 8.78 | 9.51 |
Quarter4 | 10.87 | 10.00 | 9.41 | 7.51 | 5.36 | 9.07 |
Click here for the Excel Data File (a-1)Use MegaStat or Minitab or R to deseasonalize the quarterly data on Coca-Cola's revenues and calculate seasonal indexes.(Round your answers to 3 decimal places.)
(a-2)State the adjusted four quarterly indexes.(Round your answers to 3 decimal places.)
(a-3)What is the trend model for the deseasonalized time series?(Round your answers to 2 decimal places.)
(c-1)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.)
(c-2)Use the regression equation to make a prediction for each quarter in 2020.(Enter your answers in millions rounded to 3 decimal places.)
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