An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is $F_t=124+2t,$ and it was developed using data from periods $1$ through $10.$

$\backslash$table$[[t,$Units Sold$],[11,147],[12,148],[13,151],[14,145],[15,155],[16,152],[17,155],[18,157],[19,160],[20,165]]$

Click here for the Excel Data File

Based on data for periods $11$ through $20$ as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? $($Round your answers to $2$ decimal places.$)$

$\backslash$table$[[,],[$MAD $($Naive$),],[$MAD $($Linear$),2\mathrm{.}30],[$MSE $($Naive$),],[$MSE $($Linear$),]]$

An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is $F_t=124+2t,$ and it was developed using data from periods $1$ through $10.$

$\backslash$table$[[t,$Units Sold$],[11,147],[12,148],[13,151],[14,145],[15,155],[16,152],[17,155],[18,157],[19,160],[20,165]]$

Click here for the Excel Data File

Based on data for periods $11$ through $20$ as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? $($Round your answers to $2$ decimal places.$)$

$\backslash$table$[[,],[$MAD $($Naive$),],[$MAD $($Linear$),2\mathrm{.}30],[$MSE $($Naive$),],[$MSE $($Linear$),]]$