For a certain time series, three models are fit using

y_(1),dots,y_(10)

\ For the globally constant mean model,

hat(\\\\beta )_(0)=7.2

\ For the locally constant mean model,

hat(\\\\beta )_(0)=7.2

\ For the discounted least squares model,

hat(\\\\beta )_(0)=7.2

, and

w=0.2

\ Each model is used to forecast the value of the time series at time 14.\ Compute the absolute difference between the maximum forecast value and\ the minimum forecast value.

For a certain time series, three models are fit using y1,,y10 - For the globally constant mean model, ^0=7.2 - For the locally constant mean model, ^0=7.2 - For the discounted least squares model, ^0=7.2, and w=0.2 Each model is used to forecast the value of the time series at time 14. Compute the absolute difference between the maximum forecast value an the minimum forecast value