4. A company has developed a linear trend regression model based on 16 quarters of data. The independent variable is the measure of time (t = 1 thru 16 where quarter 1 is winter quarter, 2 is spring, etc.). The company has also developed seasonal indexes for each quarter as follows:

The linear trend forecast equation is: $\hat{y} = 120 + 56t$.
Given this information, what is the seasonally adjusted forecast for period 19?
(A) 1,064
(B) 1,184
(C) 828.80
(D) 986.7