A)

A contractors records during the last five weeks indicate the number of job requests:

Week	1	2	3	4	5
Request	24	23	22	21	18

Predict the number of requests for week 4, week 5, week 6 using each of the following methods:

1) Nave approach

2) 2 period moving average

3) 4-period moving average

4) Weighted moving average using 0.50, 0.40 and 0.10 assuming the highest weight to the most recent week

5) Exponential smoothing with = 0.20; use 24 for week 3 forecast.

B)

Paul is conducting an experiment to relate fuel economy (MPG) with the number of CO2 (grams/mile). Paul conducted an experiment on 12 different vehicle owners. The table below presents the fuel economy and CO2 emitted.

Fuel economy Vs. CO₂ emissions.

Fuel Economy (MPG)	CO2 emissions(g/mi)
29.2	304
25.3	324
27.5	312
28.1	317
28	316
23.1	344
26.1	342
25	356
23.4	381
21.7	389
22.2	399

1) Obtain a linear regression equation line for the data

2) Predict the CO₂ emissions when the fuel economy is 24 MPG