Question: The quarterly demand (in units) for a product is shown below. Product TR23A Year Quarter Demand 2016 1 426 2016 2 446 2016 3 349

The quarterly demand (in units) for a product is shown below.

Product TR23A Year Quarter Demand 2016 1 426 2016 2 446 2016 3 349 2016 4 326 2017 1 439 2017 2 538 2017 3 511 2017 4 414 2018 1 526 2018 2 618 2018 3 603 2018 4 486 2019 1 482 2019 2 680 2019 3 611 2019 4 540

You want to use a multiple regression model to fit a seasonal forecasting model. After examining the data, you believe that the demand has a linear trend. Furthermore, you will use three dummy variables to represent the quarterly seasonal effects.

You must use at least 4 decimals in your calculation and answers.

The squared error for Quarter 4 of 2019 is ____ .

Please show the calculation in detail

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