a b C d Use the data given here, including the seasonal index, do the following:...
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a b C d Use the data given here, including the seasonal index, do the following: (5-points) Create seasonal index numbers using the simple average method. (2-points) Deseasonalize the data. (3-points) Develop a linear trend equation using the deseasonalized data. (2-points) Develop a trend forecast for Monday and Tuesday of Week 5. (2-points)Develop a seasonalized forecast for Monday and Tuesday of Week 5. Time Day I Monday 2 Tuesday 3 Wednesday 4 Thursday 5 Friday 6 Saturday 7 Sunday 8 Monday 9 Tuesday 10 Wednesday 11 Thursday 12 Friday 13 Saturday 14 Sunday 15 Monday 16 Tuesday 17 Wednesday 18 Thursday 19 Friday 20 Saturday 21 Sunday 22 Monday 23 Tuesday 24 Wednesday 25 Thursday 26 Friday 27 Saturday 28 Sunday Week 1 1 1 1 1 1 I 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 4 4 4 Measure 110. 95 89 93 150 255 160 105 100 85 96 155 260 166 109 92 80 78 152 268 170 112 88 84 90 148 275 175 a b C d Use the data given here, including the seasonal index, do the following: (5-points) Create seasonal index numbers using the simple average method. (2-points) Deseasonalize the data. (3-points) Develop a linear trend equation using the deseasonalized data. (2-points) Develop a trend forecast for Monday and Tuesday of Week 5. (2-points)Develop a seasonalized forecast for Monday and Tuesday of Week 5. Time Day I Monday 2 Tuesday 3 Wednesday 4 Thursday 5 Friday 6 Saturday 7 Sunday 8 Monday 9 Tuesday 10 Wednesday 11 Thursday 12 Friday 13 Saturday 14 Sunday 15 Monday 16 Tuesday 17 Wednesday 18 Thursday 19 Friday 20 Saturday 21 Sunday 22 Monday 23 Tuesday 24 Wednesday 25 Thursday 26 Friday 27 Saturday 28 Sunday Week 1 1 1 1 1 1 I 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 4 4 4 Measure 110. 95 89 93 150 255 160 105 100 85 96 155 260 166 109 92 80 78 152 268 170 112 88 84 90 148 275 175
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To calculate the seasonal index numbers using the simple average method we need to find the average ... View the full answer
Related Book For
Statistics The Exploration & Analysis of Data
ISBN: 978-1133164135
7th edition
Authors: Roxy Peck, Jay L. Devore
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