In: Operations Management
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows:
Year |
Disk Drives |
1 |
138138 |
2 |
156156 |
3 |
184184 |
4 |
204204 |
5 |
210210 |
a) Using simple linear regression ,the forecast for the number of disk drives to be made next year =
disk drives (round your response to one decimal place).
b) compute the mean squared error (MSE).
c) compute the mean absolute percent error (MAPE).
PERIOD (X) |
DEMAND (Y) |
X |
Y |
X * Y |
X^2 |
1 |
138 |
1 |
138 |
138 |
1 |
2 |
156 |
2 |
156 |
312 |
4 |
3 |
184 |
3 |
184 |
552 |
9 |
4 |
204 |
4 |
204 |
816 |
16 |
5 |
210 |
5 |
210 |
1050 |
25 |
SIGMA |
15 |
892 |
2868 |
55 |
MANUAL CALCULATION FOR INTERCEPT AND SLOPE VALUES
INTERCEPT = (SIGMA(Y) * SIGMA(X^2) - SIGMA(X) * SIGMA(XY)) / (N * SIGMA(X^2) - SIGMA(X)^2)
INTERCEPT = (892 * 55) - (15 * 2868) / ((5 * 55) - 15^2) = 120.8
SLOPE = ((N * SIGMA(XY)) - (SIGMA(X) * SIGMA(Y))) - (N * SIGMA(X^2) - SIGMA(X)^2)
SLOPE = ((5 * 2868) - (15 * 892) / ((5 * 55) - 15^2) = 19.2
LINE EQUATION = A + B(x), WHERE A IS THE INTERCEPT, B IS THE SLOPE, x IS THE PERIOD = 120.8 + (19.2 * X)
FOR THE VALUE OF X = 6 FORECAST = 120.8 + (19.2 * 6) = 236.0
FORECAST ERROR
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATION(D - F) |
ABS DEVIATION |
(ABS DEV / DEMAND) * 100 |
DEVIATION ^2 |
1 |
138 |
140 |
-2 |
2 |
1.45 |
4 |
2 |
156 |
159.2 |
-3.2 |
3.2 |
2.05 |
10.24 |
3 |
184 |
178.4 |
5.6 |
5.6 |
3.04 |
31.36 |
4 |
204 |
197.6 |
6.4 |
6.4 |
3.14 |
40.96 |
5 |
210 |
216.8 |
-6.8 |
6.8 |
3.24 |
46.24 |
SIGMA |
0 |
24 |
12.92 |
132.8 |
MSE = SIGMA(DEVIATIONS^2) / N, WHERE N = 5
MSE = 132.8 / 5 = 26.56
MAPE = SIGMA(ABSOLUTE DEVIATION / DEMAND * 100) / N, WHERE N = 5
MAPE = 12.92 / 5 = 2.58
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