Suppose that a retail store has developed a regression equation given below to forecast demand using an additive model with seven seasons The seven seasons represent each week day starting with Monday and ending with Sunday The variable X 1 represents the week day starting from t 1 for Monday of week 1 The dummy variables X 2 to X 7 represent each week day from Monday to Saturday, respectively 385 19X 1 49X 2 44X 3 6X 4 71X 5 63X 6 134X 7 Calculate the seasonally adjusted forecast for Friday of week 5 one decimal

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Question: Suppose that a retail store has developed a regression equation given below to forecast demand using an additive model with seven seasons. The seven seasons

Suppose that a retail store has developed a regression equation given below to forecast demand using an additive model with seven seasons. The seven seasons represent each week day starting with Monday and ending with Sunday. The variable X₁ represents the week day starting from t = 1 for Monday of week 1. The dummy variables X₂ to X₇ represent each week day from Monday to Saturday, respectively. = 385 + 19X₁ + 49X₂ + 44X₃ + 6X₄ + 71X₅ + 63X₆ + 134X₇

Calculate the seasonally adjusted forecast for Friday of week 5. one decimal

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