$\backslash$table$[[$Quarter$,\backslash$table$[[$Guests$],[($in thousands$)]],$Quarter,$\backslash$table$[[$Guests$],[($in thousands$)]]],[$Winter Year $1,80,$Summer Year $2,120],[$Spring Year $1,100,$Fall Year $2,50],[$Summer Year $1,150,$Winter Year $3,90],[$Fall Year $1,70,$Spring Year $3,140],[$Winter Year $2,60,$Summer Year $3,200],[$Spring Year $2,80,$Fall Year $3,100]]$

Compute seasonality indices using all of the data. Suppose the expected number of guests for Year $4$ is likely to be $600,$ provide forecasts for each of the quarters in year $4$