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Problem 1 (20 points) Daily high temperatures in Chicago for the past week were as follows 32, 37,50, 17, 23, 23, and 34 (yes
-Choice Questions (2 points each): Choose the best answer of the following is not a common (ogical) inspection poin n a proce
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Answer #1

The table summarize the forecasting methods and error measurements:

Day

Temperature (A)

3-day moving

2-day moving (F)

Error

E = A - F

Absolute Deviation

AD = |E|

Square Error

SE = E2

Absolute % error

%AE = (|E|) / A

1

32

2

37

3

50

(32+37)/2

= 31.71

(50 – 31.71)

= 18.29

|18.29|

= 18.29

(18.29)2

= 334.37

18.29/50

= 36.57%

4

17

39.67

(50+37)/2

= 31.67

-14.67

14.67

215.11

86.27%

5

23

34.67

30.60

-7.60

7.60

57.76

33.04%

6

29

30.00

25.75

3.25

3.25

10.56

11.21%

7

34

23.00

28.67

5.33

5.33

28.44

15.69%

Today

(34+29+23)/3

= 28.67

31.50

Total

4.60

49.14

646.25

183%

Average

0.92

9.83

129.25

37%

3-day moving average method: Forecast for period t = average of recent 3 day temperature

Today’s forecast = F8 = (34 + 29 + 23)/3 = 28.67 units

2-day moving average method: Forecast for period t = average of recent 2 day temperature

Today’s forecast = F8 = (34 + 29)/2 = 31.50 units

c.

First calculate 2-day moving from day 3 to 7. Calculate absolute deviation as follows from day 3 to 7:

Absolute deviation = | actual – Forecast |

Determine average absolute deviation by averaging absolute deviation from day 3 to 7.

Mean Absolute deviation (MAD) = 9.83

d.

First calculate 2-day moving from day 3 to 7. Calculate square error from day 3 to 7:

Squared error = (actual – Forecast)2

Determine average square error by averaging square error from day 3 to 7.

Mean Square Error (MSE) = 129.25

e.

First calculate 2-day moving from day 3 to 7. Calculate percentage absolute error from day 3 to 7 as follows:

% absolute error = |actual – Forecast| / Actual x 100

Determine Mean percentage absolute error (MPAE) by averaging % absolute error from day 3 to 7.

Mean % absolute error (MPAE) = 37%

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