Question

In: Statistics and Probability

Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...

Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits.

Week Sales (1,000s of gallons)
1 17
2 21
3 16
4 24
5 17
6 18
7 22
8 20
9 21
10 19
11 16
12 25
(b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series?
An - Select your answer -α = 0.1α = 0.2Item 3  smoothing constant provides the more accurate forecast, with an overall MSE of  .
(c) Are the results the same if you apply MAE as the measure of accuracy?
An - Select your answer -α = 0.1α = 0.2Item 5  smoothing constant provides the more accurate forecast, with an overall MAE of  .
(d) What are the results if MAPE is used?
An - Select your answer -α = 0.1α = 0.2Item 7  smoothing constant provides the more accurate forecast, with an overall MAPE of  .

Solutions

Expert Solution

for alpha =0.1:

week value forecast error error^2 |A-F|/A
1 17
2 21 17.000 4.000 16.000 0.1905
3 16 17.400 1.400 1.960 0.0875
4 24 17.260 6.740 45.428 0.2808
5 17 17.934 0.934 0.872 0.0549
6 18 17.841 0.159 0.025 0.0089
7 22 17.857 4.143 17.168 0.1883
8 20 18.271 1.729 2.990 0.0865
9 21 18.444 2.556 6.534 0.1217
10 19 18.699 0.301 0.090 0.0158
11 16 18.729 2.729 7.450 0.1706
12 25 18.457 6.543 42.817 0.2617
total 31.236 141.335 1.467
average 2.840 12.85 13.339%
MAE MSE MAPE

for alpha =0.2

week value forecast error error^2 |A-F|/A
1 17
2 21 17.000 4.000 16.000 0.1905
3 16 17.800 1.800 3.240 0.1125
4 24 17.440 6.560 43.034 0.2733
5 17 18.752 1.752 3.070 0.1031
6 18 18.402 0.402 0.161 0.0223
7 22 18.321 3.679 13.533 0.1672
8 20 19.057 0.943 0.889 0.0471
9 21 19.246 1.754 3.078 0.0835
10 19 19.596 0.596 0.356 0.0314
11 16 19.477 3.477 12.091 0.2173
12 25 18.782 6.218 38.667 0.2487
total 31.182 134.118 1.497
average 2.835 12.19 13.609%
MAE MSE MAPE

b)

alpha =0.2 is better since for it MSE is smaller

with an overall MSE of 12.193~ 12.19

c)

alpha =0.2 is better since for it MAE is smaller

with an overall MAE of =2.835~ 2.83

D)

alpha =0.1 is better since for it MAE is smaller

with an overall MAPE of =13.339 %


Related Solutions

Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 23 3 14 4 25 5 17 6 16 7 22 8 19 9 21 10 19 11 17 12 23 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 16 2 22 3 17 4 23 5 15 6 17 7 21 8 19 9 20 10 18 11 15 12 23 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 21 3 16 4 24 5 17 6 18 7 22 8 20 9 21 10 19 11 16 12 25 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 21 3 16 4 24 5 17 6 18 7 22 8 20 9 21 10 19 11 16 12 25 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 18 2 22 3 15 4 24 5 18 6 15 7 21 8 19 9 21 10 20 11 16 12 22 (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2. Exponential Smoothing Week α = 0.1 α = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a...
Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.
  Refer to the gasoline sales time series data in the given table. Week Sales (1000s of gallons) 1 18 2 21 3 19 4 22 5 18 6 16 7 20 8 19 9 23 10 19 11 16 12 22 Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places. Week Sales 4-WeekMoving Average 5-WeekMoving Average 1 18     2 21     3 19     4 22  ...
Consider the following ANOVA experiments. (Round your answers to two decimal places.) (a) Determine the critical...
Consider the following ANOVA experiments. (Round your answers to two decimal places.) (a) Determine the critical region and critical value that are used in the classical approach for testing the null hypothesis H0: μ1 = μ2 = μ3 = μ4, with n = 23 and α = 0.01. F ≥ (b) Determine the critical region and critical value that are used in the classical approach for testing the null hypothesis H0: μ1 = μ2 = μ3 = μ4 = μ5,...
Refer to the gasoline sales time series data in the given table. Week Sales (1,000s of...
Refer to the gasoline sales time series data in the given table. Week Sales (1,000s of gallons) 1 18 2 22 3 15 4 24 5 18 6 15 7 21 8 19 9 21 10 20 11 16 12 22 Compute four-week and five-week moving averages for the time series. If required, round your answers to two decimal places. Week Sales 4 Period Moving Average 5 period Moving Average 1 18 2 22 3 15 4 24 5 18...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT