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Using Excel, compute seasonal indexes for the monthly data and deseasonalise the time series. Submit your excel file saved as studentID#_FINA2002. [17 marks] b) Plot
Using Excel, compute seasonal indexes for the monthly data and deseasonalise the time series. Submit your excel file saved as studentID#_FINA2002. [17 marks] b) Plot the line graph showing sales data and deseasonalised sales. Comment on the graph. This graph should be included in the file named above. [4 marks] c) Discuss the reasons for seasonal adjustment of time series using credible sources (at least one journal article)
Year | Months | Sales Data, Yt ('000) | Centered 12-Month Moving Average |
2010 | Jan | 78 | |
Feb | 82 | ||
Mar | 122 | ||
Apr | 130 | ||
May | 146 | ||
Jun | 141 | ||
Jul | 135 | 127.2 | |
Aug | 155 | 128.8 | |
Sept | 141 | 131.5 | |
Oct | 148 | 135.4 | |
Nov | 135 | 139.8 | |
Dec | 109 | 143.0 | |
2011 | Jan | 87 | 146.7 |
Feb | 111 | 150.3 | |
Mar | 157 | 153.5 | |
Apr | 189 | 157.3 | |
May | 192 | 159.5 | |
Jun | 173 | 160.5 | |
Jul | 191 | 163.0 | |
Aug | 187 | 165.1 | |
Sept | 186 | 165.4 | |
Oct | 193 | 164.9 | |
Nov | 143 | 163.8 | |
Dec | 125 | 162.8 | |
2012 | Jan | 131 | 161.5 |
Feb | 117 | 159.2 | |
Mar | 158 | 155.7 | |
Apr | 177 | 151.0 | |
May | 176 | 146.9 | |
Jun | 165 | 143.5 | |
Jul | 170 | 139.2 | |
Aug | 152 | 135.6 | |
Sept | 136 | 132.8 | |
Oct | 130 | 128.5 | |
Nov | 108 | 123.0 | |
Dec | 79 | 116.3 | |
2013 | Jan | 74 | 109.1 |
Feb | 88 | 103.6 | |
Mar | 118 | 100.2 | |
Apr | 114 | 97.3 | |
May | 109 | 94.7 | |
Jun | 71 | 93.7 | |
Jul | 90 | 93.6 | |
Aug | 101 | 93.2 | |
Sept | 104 | 93.2 | |
Oct | 94 | 94.2 | |
Nov | 81 | 96.9 | |
Dec | 81 | 102.3 | |
2014 | Jan | 71 | 107.7 |
Feb | 81 | 112.6 | |
Mar | 125 | 116.9 | |
Apr | 130 | 121.0 | |
May | 159 | 125.8 | |
Jun | 149 | 129.7 | |
Jul | 142 | 133.9 | |
Aug | 167 | 138.2 | |
Sept | 141 | 141.7 | |
Oct | 157 | 145.0 | |
Nov | 131 | 149.1 | |
Dec | 126 | 155.1 | |
2015 | Jan | 126 | 161.9 |
Feb | 129 | 166.9 | |
Mar | 162 | 171.1 | |
Apr | 173 | 175.4 | |
May | 214 | 179.9 | |
Jun | 238 | 183.5 | |
Jul | 216 | 185.3 | |
Aug | 212 | 186.5 | |
Sept | 197 | 187.5 | |
Oct | 205 | 188.6 | |
Nov | 191 | 188.3 | |
Dec | 152 | 186.5 | |
2016 | Jan | 143 | 183.7 |
Feb | 141 | 179.3 | |
Mar | 175 | 174.2 | |
Apr | 185 | 168.6 | |
May | 195 | 162.3 | |
Jun | 214 | 156.5 | |
Jul | 173 | 151.8 | |
Aug | 149 | 147.5 | |
Sept | 137 | 142.3 | |
Oct | 131 | 135.9 | |
Nov | 114 | 128.3 | |
Dec | 91 | 118.8 | |
2017 | Jan | 91 | 109.8 |
Feb | 88 | 104.0 | |
Mar | 104 | 100.3 | |
Apr | 102 | 97.7 | |
May | 96 | 95.8 | |
Jun | 85 | 94.8 | |
Jul | 86 | 94.5 | |
Aug | 97 | 94.7 | |
Sept | 101 | 95.8 | |
Oct | 103 | 98.1 | |
Nov | 96 | 102.0 | |
Dec | 87 | 107.4 | |
2018 | Jan | 87 | 113.6 |
Feb | 97 | 119.7 | |
Mar | 121 | 125.8 | |
Apr | 141 | 132.2 | |
May | 151 | 138.3 | |
Jun | 158 | 143.4 | |
Jul | 162 | 147.7 | |
Aug | 167 | 152.3 | |
Sept | 178 | 157.9 | |
Oct | 180 | 164.6 | |
Nov | 166 | 172.0 | |
Dec | 139 | 179.5 | |
2019 | Jan | 138 | 186.9 |
Feb | 156 | 194.5 | |
Mar | 196 | 202.4 | |
Apr | 228 | 210.3 | |
May | 242 | 217.3 | |
Jun | 245 | 222.8 | |
Jul | 253 | ||
Aug | 260 | ||
Sept | 274 | ||
Oct | 273 | ||
Nov | 240 | ||
Dec | 198 |
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