Using the time series data in the table, respond to the following items.

Period	Sales
1	1,005
2	1,129
3	841
4	1,044
5	1,012
6	703
7	682
8	712
9	646
10	686
11	909
12	469
13	566
14	488
15	688
16	675
17	303
18	381

d-1. Compute all possible forecasts using a trend forecasting model using simple linear regression? (Round your answers to 2 decimal places.)

Period	Sales	Predicted Sales	Absolute Error
1	1,005
2	1,129
3	841
4	1,044
5	1,012
6	703
7	682
8	712
9	646
10	686
11	909
12	469
13	566
14	488
15	688
16	675
17	303
18	381

d-2. What is the MAD? (Round your answer to 2 decimal places.) MAD = ___ .

d-3. What is the trend equation based on the regression analysis? (Round your answers to 2 decimal places.) Sales = ___ - ___ time period.

e. What is the predicted annual change of industry sales? (Round your answer to 2 decimal places.) Predicted annual change of industry sales ___ .

f. Predict sales for the next three periods. (Round your answers to 2 decimal places.)

	Predicted Sales
Sales (19)
Sales (20)
Sales (21)