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The data below show the weekly average US gas price and domestic oil production for the prior week Week Average US Gas Price Prior Week

The data below show the weekly average US gas price and domestic oil production for the prior week

Week Average US Gas Price Prior Week Domestic Oil Production
3/22/2021 2.865 10900
3/29/2021 2.852 11000
4/5/2021 2.857 11100
4/12/2021 2.849 10900
4/19/2021 2.855 11000
4/26/2021 2.872 11000
5/3/2021 2.89 10900
5/10/2021 2.961 10900
5/17/2021 3.028 11000
5/24/2021 3.02 11000
5/31/2021 3.027 11000
6/7/2021 3.035 10800
6/14/2021 3.069 11000
6/21/2021 3.06 11200
6/28/2021 3.091 11100
7/5/2021 3.122 11100
7/12/2021 3.133 11300
7/19/2021 3.153 11400
7/26/2021 3.136 11400
8/2/2021 3.159 11200
8/9/2021 3.172 11200
8/16/2021 3.174 11300
8/23/2021 3.145 11400
8/30/2021 3.139 11400
9/6/2021 3.176 11500
9/13/2021 3.165 10000
9/20/2021 3.184 10100
9/27/2021 3.175 10600
10/4/2021 3.19 11100
10/11/2021 3.267 11300
10/18/2021 3.322 11400
10/25/2021 3.383 11300
11/1/2021 3.39 11300
11/8/2021 3.41 11500
11/15/2021 3.399 11500
11/22/2021 3.395 11400
11/29/2021 3.38 11500
12/6/2021 3.341 11600
12/13/2021 3.315 11700
12/20/2021 3.295 11700
12/27/2021 3.275 11600
1/3/2022 3.281 11800
1/10/2022 3.295 11800
1/17/2022 3.306 11700
1/24/2022 3.323 11700
1/31/2022 3.368 11600
2/7/2022 3.444 11500
2/14/2022 3.487 11600
2/21/2022 3.53 11600
2/28/2022 3.608 11600
3/7/2022 4.102 11600
3/14/2022 4.315 11600
3/21/2022 4.239 11600
  1. Compute a three-period moving average forecast for weekly gas price. Report your forecast along with your forecast for part b in a table

2. Determine the regression line for weekly gas prices explained by prior week domestic oil production. Report your regression line and compute the expected gas price for each week based on the oil production.

3. Make a graph with weeks on the x-axis and gas price on the y-axis. Plot the actual gas price and the forecasted values for the moving average and regression approaches.

4. Calculate the MAPE for both forecasts. Which forecast is more accurate?

5. What would explain the performance of the regression model? In other words, why did it perform well or not well compared to the moving average forecast?

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