The following trend line and seasonal indexes were computed

The following trend line and seasonal indexes were computed from 4 weeks of daily observations. Forecast the 7 values for next week.   y = 120 + 2.3t    t = 1, 2, … , 28

Day

Seasonal Index

Sunday

1.5

Monday

.4

Tuesday

.5

Wednesday

.6

Thursday

.7

Friday

1.4

Saturday

1.9

Day

Seasonal Index

Sunday

1.5

Monday

.4

Tuesday

.5

Wednesday

.6

Thursday

.7

Friday

1.4

Saturday

1.9

Solution

The equation giving the relation between x and y is given as

y =120+2.3t

Using this for various values of t y is predicted as follows:

t 2.3t 2.3t+120=y
1 2.3 122.3
2 4.6 124.6
3 6.9 126.9
4 9.2 129.2
5 11.5 131.5
6 13.8 133.8
7 16.1 136.1
8 18.4 138.4
9 20.7 140.7
10 23 143
11 25.3 145.3
12 27.6 147.6
13 29.9 149.9
14 32.2 152.2
15 34.5 154.5
16 36.8 156.8
17 39.1 159.1
18 41.4 161.4
19 43.7 163.7
20 46 166
21 48.3 168.3
22 50.6 170.6
23 52.9 172.9
24 55.2 175.2
25 57.5 177.5
26 59.8 179.8
27 62.1 182.1
28 64.4 184.4
The following trend line and seasonal indexes were computed from 4 weeks of daily observations. Forecast the 7 values for next week. y = 120 + 2.3t t = 1, 2, …
The following trend line and seasonal indexes were computed from 4 weeks of daily observations. Forecast the 7 values for next week. y = 120 + 2.3t t = 1, 2, …

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