Question

Month 1 2 3 4 5 6 7 Value 24 15 21 13 19 21 16...

Month 1 2 3 4 5 6 7
Value 24 15 21 13 19 21 16

a) 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 places. Do not round intermediate calculation. MSE:_______ The forecast for month 8________

b) 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 _____

c) Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE. If required, round your answer to two decimal places. α =______  

Homework Answers

Answer #1

a)

month value forecast |error| error^2
1 24
2 15
3 21
4 13 20.00 -7.00 49.00
5 19 16.33 2.67 7.11
6 21 17.67 3.33 11.11
7 16 17.67 -1.67 2.78
total 70.00
average 17.50
MSE= 17.50
Forecast= 18.67

b)

month value forecast error error^2
1 24
2 15 24.00 -9.00 81.00
3 21 22.20 -1.20 1.44
4 13 21.96 -8.96 80.28
5 19 20.17 -1.17 1.36
6 21 19.93 1.07 1.14
7 16 20.15 -4.15 17.20
total 182.42
average 30.40
MSE= 30.40
Forecast= 19.32

c()

from   trial and error : α =0.41

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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 20 12 19 23 15 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 places. Do not round intermediate calculation. MSE: The forecast for month 8: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17 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 places. Do not round intermediate calculation. MSE: The forecast for month 8: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast...
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 15 21 12 19 21 16 (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 -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17 (a) Create a time series plot. What type of pattern exists in the data? - Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 (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 places. Do not round intermediate calculation....
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 (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 places. Do not round intermediate calculation. MSE: The forecast for month 8: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16 (b) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1 25 2 14 3 21 4 13 5 20 6 24 7 16 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for month 8? (c) Use α = 0.2 to compute the exponential smoothing forecasts for the time series. (Round...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22 11 18 10 17 21 13 A) What type of pattern exists in the data? The data appear to follow a seasonal pattern. The data appear to follow a trend pattern.     The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern. B) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 15 13 15 15 (b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. (d)...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12 16 11 18 13 (b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 19 2 12 3 16 4 11 5 18 6 13 Compute MSE. (Round your answer to two decimal places.) MSE =   What is the forecast for week 7? (c) Use α = 0.2 to compute...
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 20 12 19 23 15 (a) Construct a time series plot. A time series plot contains a series of 7 points connected by line segments. The horizontal axis ranges from 0 to 8 and is labeled: Month. The vertical axis ranges from 0 to 30 and is labeled: Time Series Value. The points are plotted from left to right at regular increments of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT