Business at Tina's Floral Shop can be viewed as falling into three distinct seasons: (1) Christmas (November and December); (2) Mother's Day (late April to May); and (3) all other times. Time Series Analysis and Forecasting of Average weekly sales ($) during the past four years are shown below: t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Intercept Sales Quarterly Sales Data for Tina's Floral Shop Sales (1000s) (Y₂) 1769.0 1925.0 789.0 1889.0 2098.0 990.0 2140.0 2294.0 1009.0 2156.0 2378.0 1086.0 Year Year 1 Year 2 Year 3 Year 4 Year 5 Quarter 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Coefficients 1448.501539 34.39781177 Show Transcribed Text CMA(3) St. It 1494.33 1534.33 1592.00 1659.00 1742.67 1808.00 1814.33 1819.67 1847.67 1873.33 Forecasts --> 3 a) Find the missing St* It. (Show Calculation) b) Find the missing St. (Show Calculation) c) Complete the Forecast for Year 5. (Show Calculation) St Deasonalized (Y/S₁) 1500.40 1513.78 1446.10 1602.18 1649.83 1814.49 1815.07 1803.96 1849.32 1828.64 1870.02 1990.44 Trend Forecast 1482.90 1517.30 1551.69 1586.09 1620.49 1654.89 1689.29 1723.68 1758.08 1792.48 1826.88 1861.28 Forecast 1748.37 1929.47 846.62 1870.04 2060.69 902.92 1991.70 2191.92 959.22 2113.37 2323.14 1015.53

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 12PPS
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Question
Business at Tina's Floral Shop can be viewed as falling into three distinct seasons: (1) Christmas (November and
December); (2) Mother's Day (late April to May); and (3) all other times. Time Series Analysis and Forecasting of Average
weekly sales ($) during the past four years are shown below:
t
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Intercept
Sales
Quarterly Sales Data for Tina's Floral Shop
Year
Year 1
Year 2
Year 3
Year 4
Year 5
Quarter
1
2
3
1
2
3
1
2
3
1
Sales (1000s) (Y₂)
1769.0
1925.0
789.0
1889.0
2098.0
990.0
2140.0
2294.0
1009.0
2156.0
2378.0
1086.0
2
3
1
2
3
Coefficients
1448.501539
34.39781177
Show Transcribed Text
CMA(3)
1494.33
1534.33
1592.00
1659.00
1742.67
1808.00
1814.33
1819.67
1847.67
1873.33
Forecasts -->
a) Find the missing St* It. (Show Calculation)
b) Find the missing St. (Show Calculation)
c) Complete the Forecast for Year 5. (Show Calculation)
St It
St
Deasonalized
(Y₁/S₂)
1500.40
1513.78
1446.10
1602.18
1649.83
1814.49
1815.07
1803.96
1849.32
1828.64
1870.02
1990.44
Trend Forecast
1482.90
1517.30
1551.69
1586.09
1620.49
1654.89
1689.29
1723.68
1758.08
1792.48
1826.88
1861.28
Forecast
1748.37
1929.47
846.62
1870.04
2060.69
902.92
1991.70
2191.92
959.22
2113.37
2323.14
1015.53
Transcribed Image Text:Business at Tina's Floral Shop can be viewed as falling into three distinct seasons: (1) Christmas (November and December); (2) Mother's Day (late April to May); and (3) all other times. Time Series Analysis and Forecasting of Average weekly sales ($) during the past four years are shown below: t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Intercept Sales Quarterly Sales Data for Tina's Floral Shop Year Year 1 Year 2 Year 3 Year 4 Year 5 Quarter 1 2 3 1 2 3 1 2 3 1 Sales (1000s) (Y₂) 1769.0 1925.0 789.0 1889.0 2098.0 990.0 2140.0 2294.0 1009.0 2156.0 2378.0 1086.0 2 3 1 2 3 Coefficients 1448.501539 34.39781177 Show Transcribed Text CMA(3) 1494.33 1534.33 1592.00 1659.00 1742.67 1808.00 1814.33 1819.67 1847.67 1873.33 Forecasts --> a) Find the missing St* It. (Show Calculation) b) Find the missing St. (Show Calculation) c) Complete the Forecast for Year 5. (Show Calculation) St It St Deasonalized (Y₁/S₂) 1500.40 1513.78 1446.10 1602.18 1649.83 1814.49 1815.07 1803.96 1849.32 1828.64 1870.02 1990.44 Trend Forecast 1482.90 1517.30 1551.69 1586.09 1620.49 1654.89 1689.29 1723.68 1758.08 1792.48 1826.88 1861.28 Forecast 1748.37 1929.47 846.62 1870.04 2060.69 902.92 1991.70 2191.92 959.22 2113.37 2323.14 1015.53
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