Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 5 8 10 2 3 2 4 8 1 4 6 4 3 6 00 8 (b) Use a multiple regression model with dummy variables as follows to develop an equation to account 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. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank (Example: -300). If the constant is "1" it must be entered in the box. Do not round intermediate calculation. ŷ = Qtr1 + Qtr2 + Qtr3 (c) Compute the quarterly forecasts for next year based on the model you developed in part (b). If required, round your answers to three decimal places. Do not round intermediate calculation. Year Quarter Ft 4 1 4 2 4 3 4 4
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 5 8 10 2 3 2 4 8 1 4 6 4 3 6 00 8 (b) Use a multiple regression model with dummy variables as follows to develop an equation to account 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. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank (Example: -300). If the constant is "1" it must be entered in the box. Do not round intermediate calculation. ŷ = Qtr1 + Qtr2 + Qtr3 (c) Compute the quarterly forecasts for next year based on the model you developed in part (b). If required, round your answers to three decimal places. Do not round intermediate calculation. Year Quarter Ft 4 1 4 2 4 3 4 4
College Accounting, Chapters 1-27 (New in Accounting from Heintz and Parry)
22nd Edition
ISBN:9781305666160
Author:James A. Heintz, Robert W. Parry
Publisher:James A. Heintz, Robert W. Parry
Chapter17: Accounting For Notes And Interest
Section: Chapter Questions
Problem 6RQ
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