$\backslash$table$[[$Month$,$Sales $($Smillions$)],[1,470],[2,485],[3,499],[4,515],[5,532],[6,530],[7,556],[8,576],[9,583],[10,587],[11,601],[12,605]]$

Use the same data as in question $1.$ Evaluate the forecasts from the naive and exponential smoothing $($alpha $=\mathrm{.}2)$ methods using cumulative forecast error.

Fitl in the blanks of the following with a number rounded to $2$ decimal places unless otherwise directed:

The cumulative forecast error for the naive method is$.$

The cumulative forecast error for the exponential smoothing is $.$

Naive method is better than exponential smoothing in this case $($T$/$F$)$