take your time and solve, look at what I got wrong

What type of pattern exists in the data?

The data appear to follow a trend pattern.The data appear to follow a seasonal pattern. The data appear to follow a horizontal pattern.The data appear to follow a cyclical pattern.

(b)

Develop the three-week moving average for this time series. (Round your answers to two decimal places.)

Week	Time Series Value	Forecast
1	19
2	13
3	16
4	10
5	17
6	15

Compute MSE. (Round your answer to two decimal places.)

MSE =

What is the forecast for week 7?

(c)

Use = 0.2 to compute the exponential smoothing values for the time series.

Week	Time Series Value	Forecast
1	19
2	13
3	16
4	10
5	17
6	15

Compute MSE. (Round your answer to two decimal places.)

MSE =

What is the forecast for week 7? (Round your answer to two decimal places.)

(d)

Compare the three-week moving average forecast with the exponential smoothing forecast using

= 0.2.

Which appears to provide the better forecast based on MSE? Explain.

The exponential smoothing using = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach.The exponential smoothing using = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach.The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach.

(e)

Use = 0.4 to compute the exponential smoothing values for the time series.

Week	Time Series Value	Forecast
1	19
2	13
3	16
4	10
5	17
6	15

(o) Conatruet a time series plot What trpe of fattern euists in the data? The date of pear ta foriow in bend pattrom The dasa aspest to follow a stadonal patter. The data appour to folion a heritoatal pattein Teedata appehe to follon a cychcel partern. x Compute MSE. (Round your answer to two decimal places.) MSE What is the forecast for week 7 ? Use a=0.2 to compute the exponential smoothing values for the time series. Compute MSt. (Round your answer to two decimal places.) What is the forecast for week 7? (Round your answer to two decimal places.) What is the forecast for week 7 ? (Round your anamer to two dedimsi places.) (d) Compare the three-week maving average forecost with the exponensil smoodhing forecait using a =0.2. btich appears to grevide the better forecast based on 1 The exponential smoothing using a =0.2 provides a better forecalt since it has a larger Mse than the theee-week meving average approach. The expanentibl smoothing using a wi oiz prowdes a better forecast sisce it has a sntaller Kse than the three-woek maving average agoroach. The three-week moving awerege provides a botter forecks since it has a smaler Mst than the smoothing apgepach. The three woak moving aversge provides a beter forecast since it has a urger kse than the smoething appreach. 4 (e) Use a=0.4 to compute the exponential sthoothing valuet for the time stries. Does a smbothing conotant of 0.2 or 0.4 appear to provise more ocour we forecasts bosed on Mest? Gapiain. The akponential smoothing using a=0.4 provides a better forecast lince it has a larger MeE than tha expanential 3moothing using a =0.2. The exponential simbothing using a =0.2 provides a better forecant wince it has a larger Mse than the expooential amoothing using a=0.4 The exponential smoothing ising a =0,4 provides a better forectsst tince it has a smalier Mse than the eapcoembal amoothing waing a =0.2 The expotential smpothing using a =0.2 provides a better forectsl aince it has a armalle Mese than the expochental smoothing using x=0.4