A multiple regression model was used to develop an equation to account for trend and seasonal offocts in a larpo deta set spanning many yeam. Dummy variables were incorporated as follows to develop an equation to acoount for seasonal effects in the data: Qtr1 \( =1 \) if Quarter 1,0 otherwise; Qtr2 \( =1 \) if Quarter 2,0 otherwise; Qtr3 \( =1 \) if Quarter 3, 0 otherwise. The model incorporated a variable \( t \) such that: \( t=1 \) for Quarter 1 in Year 1 , \( t=2 \) for Quarter 2 in Year 1 , \( t=11 \) for Quarter 3 in Year 3. \( t=12 \) for Quarter 4 in Year 3 . The lower block of the rearession renort andears below. Predict the value for the fourth quarter in year 9. Enter your result as a pure number without symbols. Round your answer to 2 decimal places, if applicable.