Question

In: Statistics and Probability

(a) Develop a five month average forecast. Compute MSE and a forecast for month 13.

Consider the following time series data

Month 1 2 3 4 5 6 7 8 9 10 11 12

Value 90 89 86 91 90 91 88 86 91 93 90 88

 

(a) Develop a five month average forecast. Compute MSE and a forecast for month 13.

(b) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 13.

( c) Compare the result for the five month average and exponential smoothing. Which appears to provide a better forecast based on MSE? Explain. (Make sure to adjust the MSE of the exponential smoothing). Please show steps in excel.

Solutions

Expert Solution

5 month moving average

x y 5 MA Squared error
1 90
2 89
3 86
4 91
5 90
6 91 89.2 3.24
7 88 89.4 1.96
8 86 89.2 10.24
9 91 89.2 3.24
10 93 89.2 14.44
11 90 89.8 0.04
12 88 89.6 2.56
13 89.6
MSE 5.102857143

forecast for month 13 = 89.6

formula

x y 5 MA Squared error
1 90
=1+A2 89
=1+A3 86
=1+A4 91
=1+A5 90
=1+A6 91 =AVERAGE(B2:B6) =(C7-B7)^2
=1+A7 88 =AVERAGE(B3:B7) =(C8-B8)^2
=1+A8 86 =AVERAGE(B4:B8) =(C9-B9)^2
=1+A9 91 =AVERAGE(B5:B9) =(C10-B10)^2
=1+A10 93 =AVERAGE(B6:B10) =(C11-B11)^2
=1+A11 90 =AVERAGE(B7:B11) =(C12-B12)^2
=1+A12 88 =AVERAGE(B8:B12) =(C13-B13)^2
13 =AVERAGE(B9:B13)
MSE =AVERAGE(D7:D13)

exponential

x y exponential Squared error
1 90 90
2 89 90 1
3 86 89.8 14.44
4 91 89.04 3.8416
5 90 89.432 0.322624
6 91 89.5456 2.115279
7 88 89.83648 3.372659
8 86 89.46918 12.03524
9 91 88.77535 4.94908
10 93 89.22028 14.2863
11 90 89.97622 0.000565
12 88 89.98098 3.924273
13 89.58478
MSE 5.480693

forecast =

89.58478

formula

x y exponential Squared error
1 90 90
=1+A2 89 =C2+0.2*(B2-C2) =(C3-B3)^2
=1+A3 86 =C3+0.2*(B3-C3) =(C4-B4)^2
=1+A4 91 =C4+0.2*(B4-C4) =(C5-B5)^2
=1+A5 90 =C5+0.2*(B5-C5) =(C6-B6)^2
=1+A6 91 =C6+0.2*(B6-C6) =(C7-B7)^2
=1+A7 88 =C7+0.2*(B7-C7) =(C8-B8)^2
=1+A8 86 =C8+0.2*(B8-C8) =(C9-B9)^2
=1+A9 91 =C9+0.2*(B9-C9) =(C10-B10)^2
=1+A10 93 =C10+0.2*(B10-C10) =(C11-B11)^2
=1+A11 90 =C11+0.2*(B11-C11) =(C12-B12)^2
=1+A12 88 =C12+0.2*(B12-C12) =(C13-B13)^2
13 =C13+0.2*(B13-C13)
MSE =AVERAGE(D3:D13)

c)

5 month MA is better as its MSE is lower


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