Assume you first collected a quarterly sales data (in millions of dollars) over a four-year period from the first quarter 2016 to the fourth quarter 2019 then computed (the normalised) seasonal index for each quarter using ratio-to-moving-average method, andfinally fitted a linear trend model based on the deseasonalised sales data and a time period (X), coded as 0, 1, ......, n. Ifthe estimated coefficients oftheintercept andX(timeperiod)are153.93 and6.01,respectively, what is the seasonally adjusted forecast value of sales(in millions of dollars) for the third quarter of 2020? Round your final answer totwodecimal places. Assumethe (normalised) seasonal indices for the quarterly sales data are 1.04, 1.02, 0.96 and 0.98 for quarters 1, 2, 3 and 4, respectively.