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O The dece moser to follow e crelical pakient nese- | (c) Use a=0.2 to compute the exponential smoothing forecasts for the time series. (Use

O The dece moser to follow e crelical pakient\ nese-\ |\ (c) Use

a=0.2

to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel).\ Compute MSE. (Round your answer to two decimal places.)\ MSE

=

\ What is the forecast for weck 7 ? (Round your arswer to two decimal placis.)\ The exponential smoothing using

a=0.2

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

f=0.2

provides a better forecast since is has a smaller MSt than the three-week moving average approach.\ (e) Use a smoothing constant of

a=0.4

to compute the exponential smoothing forecasts. (Use all decimal places as given in Excel).\ Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSt? Cuplain.\ The exponential smoothing using

a=0.4

peovides a better forecast since it has a larger MSE than the exponential smoothing using

a

= 0.2 .\ The exponential smoothing using

a=0.2

peovides a better forecast since it has

a

larger MsE than the exponential smoothing using

a

. 0.4 .\ The exponential smoothing using

a=0.4

provides a better forecast since if has a smaller MSE than the exponential smoching using

a=0.2

.\ The exponential smoothing using

a=0.2

provides a better forbcast since if has a smaller Mst than the exponential smoothing using

at=0.4

.

image text in transcribed
Consiger to folaging time series data. (a) Conatruct a time series plot. 2 2 2 What trper of patern caiva in Ees datat? O the depe apesar to follow a cralical pacient 0 The decie apear be folow a trend pactem. rest = What is be forecast for mest 77 (c) Use E=0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Fxcel). Compute MSE, (Round your answer to two decimal places.) MSE = What is the forecast for weke 7? (Round your arswer to two decimal plases.) The exponential smoothing using a =0.2 provides a better forecast since it has a larger Mst than the thret-wetk moving average approach. The three-week moving average provides a better forecast since it has a larger MSE than the smockhing approach. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach. The exponential smoothing using of =0.2 provides a better forecast since a has a smaller Mst than the three-week moving average approach. (e) Use a smoothing constant of a=0.4 to compute the exponential smoothing forecasts. (Use all decimal places as given in Excel). Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using a=0.4 provides a better forecast since it has a larger MsE than the exponential smoothing using a o 0.2 . The exponential smoothing using a=0.2 provides a better forecast since if has a larger MsE than the exponential smoothing using a in 0.4 . The exponential smoothing using a=0.4 provides a better forecast since is has a smaller MsE than the exponential smoothing using a=0.2. The exponential smoothing using a=0.2 provides a better forecast since is has a smaller Mst than the exponential smoothing using a=0.4. Consiger to folaging time series data. (a) Conatruct a time series plot. 2 2 2 What trper of patern caiva in Ees datat? O the depe apesar to follow a cralical pacient 0 The decie apear be folow a trend pactem. rest = What is be forecast for mest 77 (c) Use E=0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Fxcel). Compute MSE, (Round your answer to two decimal places.) MSE = What is the forecast for weke 7? (Round your arswer to two decimal plases.) The exponential smoothing using a =0.2 provides a better forecast since it has a larger Mst than the thret-wetk moving average approach. The three-week moving average provides a better forecast since it has a larger MSE than the smockhing approach. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach. The exponential smoothing using of =0.2 provides a better forecast since a has a smaller Mst than the three-week moving average approach. (e) Use a smoothing constant of a=0.4 to compute the exponential smoothing forecasts. (Use all decimal places as given in Excel). Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using a=0.4 provides a better forecast since it has a larger MsE than the exponential smoothing using a o 0.2 . The exponential smoothing using a=0.2 provides a better forecast since if has a larger MsE than the exponential smoothing using a in 0.4 . The exponential smoothing using a=0.4 provides a better forecast since is has a smaller MsE than the exponential smoothing using a=0.2. The exponential smoothing using a=0.2 provides a better forecast since is has a smaller Mst than the exponential smoothing using a=0.4

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