![5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace 5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace](https://mathspace-production-media.mathspace.co/media/upload/images/001_Chapter_Entries/regression/seasonalindex1c.png)
5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace
![5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace 5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace](https://mathspace-production-media.mathspace.co/media/upload/images/001_Chapter_Entries/regression/seasonalindex1a.png)
5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace
![Calculation of Seasonal Index solved sums 17 | Statistics | Mathematics | Mathur Sir Classes - YouTube Calculation of Seasonal Index solved sums 17 | Statistics | Mathematics | Mathur Sir Classes - YouTube](https://i.ytimg.com/vi/B4fxoH_l1aw/maxresdefault.jpg)
Calculation of Seasonal Index solved sums 17 | Statistics | Mathematics | Mathur Sir Classes - YouTube
![Predictive Analytics with Microsoft Excel: Working with Seasonal Time Series | Simple Seasonal Averages | InformIT Predictive Analytics with Microsoft Excel: Working with Seasonal Time Series | Simple Seasonal Averages | InformIT](https://www.informit.com/content/images/chap5_9780789756145/elementLinks/05fig02_alt.jpg)
Predictive Analytics with Microsoft Excel: Working with Seasonal Time Series | Simple Seasonal Averages | InformIT
![SOLVED: Calculate seasonal indices by Ratio to moving average method from the following data: YEAR 1ST Quarter 2n Quarter 3rd Quarter 4th Quarter 2003 30 40 36 34 2004 34 52 44 2005 40 58 54 48 2006 54 76 68 62 2007 80 92 86 82 SOLVED: Calculate seasonal indices by Ratio to moving average method from the following data: YEAR 1ST Quarter 2n Quarter 3rd Quarter 4th Quarter 2003 30 40 36 34 2004 34 52 44 2005 40 58 54 48 2006 54 76 68 62 2007 80 92 86 82](https://cdn.numerade.com/ask_images/a17969a344ff4b8ab3f0d70779078ccd.jpg)
SOLVED: Calculate seasonal indices by Ratio to moving average method from the following data: YEAR 1ST Quarter 2n Quarter 3rd Quarter 4th Quarter 2003 30 40 36 34 2004 34 52 44 2005 40 58 54 48 2006 54 76 68 62 2007 80 92 86 82
5.03 Seasonal adjustments and deseasonalising data | Year 12 Maths | WACE 12 Mathematical Applications - 2020 Edition | Mathspace
![Moving Averages and Centered Moving Averages | Predictive Analytics with Microsoft Excel: Working with Seasonal Time Series | InformIT Moving Averages and Centered Moving Averages | Predictive Analytics with Microsoft Excel: Working with Seasonal Time Series | InformIT](https://www.informit.com/content/images/chap5_9780789756145/elementLinks/05fig13.jpg)