A manager of a store that sells and installs spas wants to prepare a forecast for January, February, and March of next year. Her forecasts are a combination of trend and seasonality. She uses the following equation to estimate the trend component of monthly demand: $F_t=50+4t,$ where $t=0$ in June of last year. Seasonal relatives are $1\mathrm{.}11$ for January, $\mathrm{.}91$ for February, and $\mathrm{.}89$ for March. What demands should she predict? $($Round your answers to $2$ decimal places.$)$

$\backslash$table$[[$Month$,$Forecast$],[$January of the next year,$],[$February of the next year,$],[$March of the next year,$]]$