#Q$\backslash$perplibrary$($tsibb$7$e$)$

library$($tsibb$7$edata$)$

library$($dp$7$yr$)$data$("$aus$\_$retai$1")$takeaway$\_$food aus$\_$retail $\%>\%$

filter$($Industry $==$ "Takeaway food services"$)\%>\%$

select$($Month$,$ Turnover$)\%>\%$

as$\_$tsibb$7$e$($index $=$ Month$)$

test$\_$set$\_$size # last four years $(48$ months$)$

test$\_$start nrow$($takeaway$\_$food$)-$ test$\_$set$\_$size $+1$train$\_$set takeaway$\_$food $\%>\%$

slice$(1$:$($test$\_$start $-1))$test$\_$set takeaway$\_$food $\%>\%$

slice$($test$\_$start:nrow$($takeaway$\_$food$))$

head$($train$\_$set$)$

head$($test$\_$set$)$

nrow$($train$\_$set$)$

nrow$($test$\_$set$)$

#Q$2$

Fit all the appropriate simple$/$benchmark forecasting methods

to the training set and forecast the periods covered by the

test set. Justify your model selection.

You include any plots to justify your answer.

Solve the question based on the code