Consider the following time series data. Choose the correct time series plot.(i) (ii) (iii) (iv) Plot (ii) What type of pattern exists in the data?Horizontal Pattern 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.WeekTime SeriesValueForecast118 213 316 411fill in the blank 3517fill in the blank 4614fill in the blank 5MSE: fill in the blank 6The forecast for week 7: fill in the blank 7Use 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.WeekTime SeriesValueForecast118 213fill in the blank 8316fill in the blank 9411fill in the blank 10517fill in the blank 11614fill in the blank 12MSE: fill in the blank 13The forecast for week 7: fill in the blank 14

Answered: Consider the following time series…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the following time series data.

Choose the correct time series plot.

(i) (ii)

(iii) (iv)

Plot (ii)

What type of pattern exists in the data?

Horizontal Pattern
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.

Week Time Series
Value
Forecast

1 18

2 13

3 16

4 11 fill in the blank 3

5 17 fill in the blank 4

6 14 fill in the blank 5

MSE: fill in the blank 6

The forecast for week 7: fill in the blank 7
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.

Week Time Series
Value
Forecast

1 18

2 13 fill in the blank 8

3 16 fill in the blank 9

4 11 fill in the blank 10

5 17 fill in the blank 11

6 14 fill in the blank 12

MSE: fill in the blank 13

The forecast for week 7: fill in the blank 14

Week	Time Series Value	Forecast
1	18
2	13
3	16
4	11	fill in the blank 3
5	17	fill in the blank 4
6	14	fill in the blank 5

Week	Time Series Value	Forecast
1	18
2	13	fill in the blank 8
3	16	fill in the blank 9
4	11	fill in the blank 10
5	17	fill in the blank 11
6	14	fill in the blank 12

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