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:

| Winter | Spring | Summer | Fall |
| --- | --- | --- | --- |
| 1.20 | 1.00 | 0.70 | 1.10 |

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