Suppose that a retail store has developed a regression equation given below to forecast demand using an additive model with seven seasc The seven seasons represent each week day starting with Monday and ending with Sunday. The variable $x_1$ represents the weekday start from $t=1$ for Monday of week $1.$ The dummy variables $x_2$ to $x_7$ represent each weekday from Monday to Saturday, respectively.

hat$(Y)=327+16x_1+34x_2+47x_3+5x_4+42x_5+66x_6+95x_7$

Calculate the seasonally adjusted forecast for Tuesday of week $9.$

Round your answer to $1$ decimal place.

$4$ marks

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