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: = 120 + 56t. Given this information, what is the seasonally adjusted forecast for period 19?
Definitions:
P(A|B)
P(A|B) represents the conditional probability of event A occurring given that event B has occurred, showing the likelihood of A when B is known to happen.
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