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The quarterly demand (in units) for a product is shown below. Product TR23A Year Quarter Demand 2016 2016 2016 2016 2017 2017 2017 2017 2018 2018 2018 2018 2019 2019 2019 2019 123 TL 23 4 1 4 123 2 41234 426 446 349 326 439 538 511 414 526 618 603 486 482 680 611 540 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
2018 2018 2018 2018 2019 2019 2019 2019 123 34 4 1 2 526 618 603 486 482 680 611 540 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 absolute percent error for Quarter 4 of 2018 is percent.