Consider the short time series 2,4,1,5,7,10. Find the mean square error (MSE) of the MA(2) forecast....
Consider the short time series 2,4,1,5,7,10. Find the mean square error (MSE) of the MA(2) forecast. Round your answer to the nearest hundredth and enter it in the form xx.xx.
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Consider the short time series 2,4,1,5,7,10. Find the mean
square error (MSE) of the MA(2) forecast....
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 14...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 14 17 12 17 14 Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. Week Time Series Value Forecast 1 19 2 14 3 17 4 12 5 17 6 14 MSE: The forecast for week 7: Use = 0.2 to compute the exponential smoothing values for the time series....
Consider the following time series data. Month Value 1 21 2 3 4 14 2014 5...
Consider the following time series data. Month Value 1 21 2 3 4 14 2014 5 18 6 21 7 15 Round your answers to two decimal places. a. Compute MSE using the most recent value as the forecast for the next period. Mean squared error is What is the forecast for month 8? b. Compute MSE using the average of all data available as the forecast for the next period Mean squared error is What is the forecast for...
Q3. error Based on the time series values from problem number 2, consider the following table...
Q3. error Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) Squared error Month (Thousands) 9 2 3 (0)? (ii)? 36 3 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? a) (3pt) Compute the number (i): Show your work for full credit b) (3pt) Compute the...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 13 21 14 20 23 15 (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: (e) Use trial and error to find a value of the exponential smoothing coefficient α...
Problem 08-06 Algo (Moving Averages and Exponential Smoothing) Consider the following time series data: Month 1...
Problem 08-06 Algo (Moving Averages and Exponential
Smoothing)
Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
23
13
21
13
19
21
17
(a) Choose the correct time series plot Month (iv) Month Select your answer What type of pattern exists in the data? Select your answer- (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value 20 14 16 10 18 14 Using the naiïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy a. Mean absolute error. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percent error. Round you answer to two decimal places. d. What is...
Consider the following time series: Yt5 12 10 13 16 a. Choose the correct time series...
Consider the following time series: Yt5 12 10 13 16 a. Choose the correct time series plot. (1) Times Series Value () Times Series Value Time period (t) 3 Times Scries (iv) Times Series Value Time periodo Time periodo (ii) Times Series Value Times Series Value Time period (1) Time periodo What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. Round...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 16 11 17 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Round your answers to two decimal places. MAE = MSE = MAPE = Using the average of all the historical data as a...
Omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a....
omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a. Which of the following is a correct time series plot for this data? や" -Select your answer- What type of pattern exists in the data? -select your answer- b. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month 8 (to 2 decimals if necessary). Enter negative values as...
Consider the following time series data. Week 1 2 3 4 5 6 Value 17 13...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
17
13
15
11
15
13
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Graph (i)Graph (ii)Graph (iii)Graph
(iv)Item 1
What type of pattern exists in the data?
- Select your answer -Horizontal PatternTrend PatternItem
2
(b)
Develop a three-week moving average for this time series.
Compute MSE and a forecast for week 7.
If required, round your answers...
Consider the following time series data. Month Value 1 21 2 3 4 14 2014 5 18 6 21 7 15 Round your answers to two decimal places. a. Compute MSE using the most recent value as the forecast for the next period. Mean squared error is What is the forecast for month 8? b. Compute MSE using the average of all data available as the forecast for the next period Mean squared error is What is the forecast for...
Q3. error Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) Squared error Month (Thousands) 9 2 3 (0)? (ii)? 36 3 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? a) (3pt) Compute the number (i): Show your work for full credit b) (3pt) Compute the...
Problem 08-06 Algo (Moving Averages and Exponential
Smoothing)
Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
23
13
21
13
19
21
17
(a) Choose the correct time series plot Month (iv) Month Select your answer What type of pattern exists in the data? Select your answer- (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value 20 14 16 10 18 14 Using the naiïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy a. Mean absolute error. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percent error. Round you answer to two decimal places. d. What is...
Consider the following time series: Yt5 12 10 13 16 a. Choose the correct time series plot. (1) Times Series Value () Times Series Value Time period (t) 3 Times Scries (iv) Times Series Value Time periodo Time periodo (ii) Times Series Value Times Series Value Time period (1) Time periodo What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. Round...
omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a. Which of the following is a correct time series plot for this data? や" -Select your answer- What type of pattern exists in the data? -select your answer- b. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month 8 (to 2 decimals if necessary). Enter negative values as...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
17
13
15
11
15
13
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Graph (i)Graph (ii)Graph (iii)Graph
(iv)Item 1
What type of pattern exists in the data?
- Select your answer -Horizontal PatternTrend PatternItem
2
(b)
Develop a three-week moving average for this time series.
Compute MSE and a forecast for week 7.
If required, round your answers...
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