Question

The accompanying data file contains 10 observations for t and yt. A 3-period moving average is...

The accompanying data file contains 10 observations for t and yt.


A 3-period moving average is plotted along with the actual series.




a. Comment on smoothing.

  • The jagged graph represents the original series and the smoother graph represents its 3-period moving average.

  • The smoother graph represents the original series and the jagged graph represents its 3-period moving average.

  • We cannot tell which graph represents the original series and which its 3-period moving average.



b-1. Use the 3-period moving average to make in-sample forecasts. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.)

t yt yˆt
1 13
2 8
3 9
4 13
5 13
6 8
7 8
8 10
9 12
10 14
11


b-2. Compute the resulting MSE and MAD. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.)




c. Make a forecast for period 11. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)

yˆt= ?????  

Homework Answers

Answer #1

using minitab>stat>Time series>Moving average

we have

Moving Average for yt

Data yt
Length 10
NMissing 0


Moving Average

Length 3


Accuracy Measures

MAPE 27.6195
MAD 2.9524
MSE 9.9683


Time yt MA Predict Error
1 13 * * *
2 8 * * *
3 9 10.0000 * *
4 13 10.0000 10.0000 3.00000
5 13 11.6667 10.0000 3.00000
6 8 11.3333 11.6667 -3.66667
7 8 9.6667 11.3333 -3.33333
8 10 8.6667 9.6667 0.33333
9 12 10.0000 8.6667 3.33333
10 14 12.0000 10.0000 4.00000


Forecasts

Period Forecast Lower Upper
11 12 5.81190 18.1881


a ) The smoother graph represents the original series and the jagged graph represents its 3-period moving average.

b-2. the resulting MSE = 9.97

and MAD = 2.95
c. a forecast for period 11

yˆt= 12

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
The accompanying data file contains 20 observations for t and yt. The data are plotted below....
The accompanying data file contains 20 observations for t and yt. The data are plotted below. t 1 2 3 4 5 6 7 8 9 10 yt 10.8 14.1 10.3 10.9 11.3 13.5 10.7 9.2 8.8 12 t 11 12 13 14 15 16 17 18 19 20 yt 9.8 11 15.1 12.5 12.9 12.3 9 14.9 10.1 11.9 ***I Really only need an answer for t=21 but I included the rest for context. b-1. Use the exponential smoothing...
CAN SOMEONE PLEASE ANSWER THIS QUESTION FOR ME? THIS IS MY SECOND TIME POSTING IT. PLEASE...
CAN SOMEONE PLEASE ANSWER THIS QUESTION FOR ME? THIS IS MY SECOND TIME POSTING IT. PLEASE DO NOT ANSWER IF YOU DO NOT UNDERSTAND THE PROBLEM. I NEED STEP-BY-STEP HELP IN ORDER TO UNDERSTAND HOW TO SOLVE FUTURE PROBLEMS The accompanying data file contains 20 observations for t and yt. DATA EXCEL FILE: t 1 2 3 4 5 6 7 8 9 10 yt 13.8 13.1 15.1 9.7 12.1 11 11.1 10.3 13 8.1 t 11 12 13 14...
Consider the following time series data. t 1 2 3 4 5 Yt 7 12 10...
Consider the following time series data. t 1 2 3 4 5 Yt 7 12 10 13 16 Develop the linear trend equation for this time series (to 1 decimal). Tt = _____ + _____t What is the forecast for t = 6 (to 1 decimal)?
Refer to the gasoline sales time series data in the given table. Week Sales (1000s of...
Refer to the gasoline sales time series data in the given table. Week Sales (1000s of gallons) 1 18 2 21 3 18 4 22 5 17 6 15 7 20 8 18 9 21 10 20 11 14 12 22 Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places. Week Sales 4-Week Moving Average 5-Week Moving Average 1 18 2 21 3 18 4 22 5 17 6 15 7 20...
Consider the following time series. t 1 2 3 4 5 yt 5 10 10 15...
Consider the following time series. t 1 2 3 4 5 yt 5 10 10 15 14 Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If required, round your answers to two decimal places. y-intercept, b0 =   Slope, b1 =   MSE =   (c) What is the forecast for t = 6? If required, round your answer to one decimal place.
1. Consider the following time series data. t 1 2 3 4 5 Yt 6 11...
1. Consider the following time series data. t 1 2 3 4 5 Yt 6 11 9 14 15 a. Develop the linear trend equation for this time series (to 1 decimal). Tt = (___) + (___) t b. What is the forecast for t=6 (to 1 decimal)? (___) 2. Consider the following time series data. t 1 2 3 4 5 Yt 7 11 9 14 16 a. Develop the linear trend equation for this time series (to 1...
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as...
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows:      Month Sales (000)Units   Feb. 15   Mar. 15   Apr. 10   May. 27   Jun. 15   Jul. 23   Aug. 28     b. Forecast September sales volume using each of the following:      (1) A linear trend equation.(Round your intermediate calculations and final answer to 2 decimal places.)     Yt thousands        (2) A five-month moving average. (Round your answer to 2 decimal places.)        Moving...
Using ? = 0.5 and the following data, compute exponential smoothing forecasts for periods 2 through...
Using ? = 0.5 and the following data, compute exponential smoothing forecasts for periods 2 through 8. (Round your intermediate calculations and final answers to 2 decimal places.) Period: 1 2 3 4 5 6 7 Forecast: 10 Actual demand: 12 15 11 13 11 11 10
Consider the following time series. t 1 2 3 4 5 yt 7 10 10 14...
Consider the following time series. t 1 2 3 4 5 yt 7 10 10 14 16 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) 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. If required, round your answers to two decimal places. y-intercept, b0 = Slope, b1 = MSE = (c) What is the forecast for t...
Consider the following time series. t 1 2 3 4 5 yt 6 10 8 13...
Consider the following time series. t 1 2 3 4 5 yt 6 10 8 13 15 Use Sumple linear regression analysis to find parameters for the line that minimizes MSE for the time series. y-intercept, b0= Slope, b1= MSE= What is the forecast for t=6?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT