Consider the following time series data.Quarter Year 1 Year 2 Year 3 1 4 6 72 2 3 63 3 5 64 5 7 8 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)Value = + Qtr1 + Qtr2 + Qtr3 + tCompute the quarterly forecasts for next year. If required, round your answers to two decimal places.Quarter 1 forecast = Quarter 2 forecast = Quarter 3 forecast = Quarter 4 forecast =

Answered: Consider the following time series…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the following time series data.

Quarter Year 1 Year 2 Year 3

1 4 6 7

2 2 3 6

3 3 5 6

4 5 7 8

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)

Value = + Qtr1 + Qtr2 + Qtr3 + t
Compute the quarterly forecasts for next year. If required, round your answers to two decimal places.

Quarter 1 forecast =

Quarter 2 forecast =

Quarter 3 forecast =

Quarter 4 forecast =

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