1. Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons:

Week	Forecast Method 1	Actual Demand
1	0.95	0.72
2	1.05	1.05
3	0.95	1.00
4	1.22	0.97

Week	Forecast Method 2	Actual Demand
1	0.82	0.72
2	1.21	1.05
3	0.92	1.00
4	1.11	0.97

The MAD for Method 1 = . 133.133 thousand gallons (round your response to three decimal places).

The mean squared error (MSE) for Method 1 = _____thousand gallons squared (round your response to three decimal places).

2. Sales of quilt covers at Bud Banis's discount department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination exponential smoothing and its collective judgment for the 4 months (March, April, May, and June):

Month	Jul	Aug	Sep	Oct	Nov	Dec	Jan	Feb	Mar	Apr	May	Jun
Unit Sales	98	97	94	112	120	118	92	84	102	96	88	110
Management's Forecast									125	116	110	110

a) MAD for the forecast developed by the management's technique = 16.25 sales (round your response to two decimal places).

MAPE for the forecast developed by the management's technique = 17.101 (round your response to two decimal places).

b) Using the Naive Method the forecast for period March through June is (round your response to two decimal places):

Month	Jul	Aug	Sep	Oct	Nov	Dec	Jan	Feb	Mar	Apr	May	Jun
Unit Sales	98	97	94	112	120	118	92	84	102	96	88	110
Naive Forecast									8484	102102	9696	8888

MAD for the naive forecast = ______ sales (round your response to two decimal places).